View vnponce's full-sized avatar
12 followers · 1 following

    Achievements

    Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

    Achievements

    Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

    Block or report vnponce

    Block user

    Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

    You must be logged in to block users.

    Content in all repositories owned by your account will be closed.
    Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
    Report abuse

    Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

    Report abuse
    vnponce/README.md

    Hi there 👋, I'm Abel Ponce

    Senior AI Backend Engineer · Building production AI infrastructure

    LinkedInEmailLocationStatus

    🚀 About Me

    Senior AI Engineer with 10 years of experience shipping production backend services. Currently at Amazon (AWS — Amazon Connect) building systems that execute automated call flows at high scale, while building a multi-tenant AI Infrastructure Platform on the side — load-tested at 12K+ RPS with p95 <150ms on Kubernetes.

    Specialized in AI agents, LLM orchestration, RAG, multi-provider LLM gateways, and event-driven microservices. Background spanning logistics (Nuvocargo), e-commerce (Lovevery), and cloud infra at Amazon. Working remotely from 🇲🇽 Mexico.

    • 🔭 Currently shipping at Amazon Connect Flow — TypeScript · AWS CDK · Lambda
    • 🤖 Building a modular AI Infrastructure Platform — 5 independent services, production-grade
    • 🌱 Going deep on Go, Temporal, Kafka, pgvector, and distributed systems
    • 💬 Ask me about AI agents, RAG pipelines, LLM gateways, or scaling backend services
    • 📫 Reach me: vnponce8@gmail.com

    🤖 Currently Building — AI Infrastructure Platform

    A modular platform that lets companies integrate production-grade AI without building infra from scratch. Each module is an independent service sharing auth, billing, and observability.

    ModuleWhat it solvesStack
    M1 — AI GatewayMulti-provider LLM routing, cost tracking, no vendor lock-inGo · Envoy · Redis
    M2 — RAG PlatformHybrid semantic + BM25 search, 200K+ docs indexed, p95 <280msPython · FastAPI · pgvector · Kafka
    M3 — Agent OrchestratorDurable agent workflows with vector memory, 3M+ executions/dayPython · Temporal · pgvector · MCP
    M4 — LLM Eval PlatformContinuous quality monitoring + drift detection, 2M+ evals/dayPython · LLM-as-judge · S3
    M5 — Event MeshReal-time AI inference on event streams, sub-second latencyPython · Kafka · Redis Streams

    Platform pitch: processing 12K+ RPS with p95 <150ms, validated with k6 load tests on Kubernetes simulating 20K+ concurrent users — using Go, Python, Kafka, Temporal, pgvector, and Envoy.

    🛠️ Tech Stack

    Languages

    PythonGoTypeScriptJavaScriptRuby

    AI / ML

    AnthropicOpenAIAWS BedrockpgvectorTemporalMCP

    Backend & APIs

    FastAPINode.jsRailsLaravel

    Cloud & Infrastructure

    AWSKubernetesDockerEnvoyKafkaPostgreSQLRedis

    Observability & Testing

    PrometheusGrafanaOpenTelemetrypytestRSpecCypress

    📊 GitHub Stats

    GitHub Stats

    GitHub Streak

    Top Languages

    📫 Connect with me

    LinkedInEmailGitHub

    ⭐️ From vnponce — open to freelance & collaboration on AI infrastructure projects

    Pinned Loading

    1. healthcare-intake-coordination-systemhealthcare-intake-coordination-systemPublic

      A small multi-agent AI system for healthcare intake coordination, built to learn multi-agent orchestration patterns end-to-end without an SDK

      Python 1

    2. football-intelligence-agentfootball-intelligence-agentPublic

      AI-powered serverless agent that answers football questions using AWS Lambda and Claude AI

      JavaScript

    3. mundial-ticket-agentmundial-ticket-agentPublic

      small learning project where I explored integrating AWS Bedrock with Lambda to create a virtual assistant for World Cup ticket registrations.

      TypeScript

    4. SeederMXSeederMXPublic

      This project shows Laravel model factories to generate 'Estados' 'Municipios' from México.

      PHP 8 9

    5. deliveries-exercisedeliveries-exercisePublic

      Deliveries exercise with react using TDD

      JavaScript

    6. apartadoenlineaapartadoenlineaPublic

      Main idea is to have a sort of ecom but schedulling the orders to specific day, time and store with its owb dashboard to track orders.

      PHP

    , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
     blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

    Skip to content
    View vnponce's full-sized avatar
    12
followers
 · 1
following

      Achievements
      Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
      Achievements
      Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
      
Block or report vnponce

      Block user
      
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

      
You must be logged in to block users.

      
Content in all repositories owned by your account will be closed.

      
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

      Report abuse
      
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

      Report abuse
      vnponce/README.md
      Hi there 👋, I'm Abel Ponce
      Senior AI Backend Engineer · Building production AI infrastructure
      LinkedInEmailLocationStatus
      🚀 About Me
      Senior AI Engineer with 10 years of experience shipping production backend services. Currently at Amazon (AWS — Amazon Connect) building systems that execute automated call flows at high scale, while building a multi-tenant AI Infrastructure Platform on the side — load-tested at 12K+ RPS with p95 <150ms on Kubernetes.
      Specialized in AI agents, LLM orchestration, RAG, multi-provider LLM gateways, and event-driven microservices. Background spanning logistics (Nuvocargo), e-commerce (Lovevery), and cloud infra at Amazon. Working remotely from 🇲🇽 Mexico.
      • 🔭 Currently shipping at Amazon Connect Flow — TypeScript · AWS CDK · Lambda
      • 🤖 Building a modular AI Infrastructure Platform — 5 independent services, production-grade
      • 🌱 Going deep on Go, Temporal, Kafka, pgvector, and distributed systems
      • 💬 Ask me about AI agents, RAG pipelines, LLM gateways, or scaling backend services
      • 📫 Reach me: vnponce8@gmail.com
      🤖 Currently Building — AI Infrastructure Platform
      A modular platform that lets companies integrate production-grade AI without building infra from scratch. Each module is an independent service sharing auth, billing, and observability.
      ModuleWhat it solvesStack
      M1 — AI GatewayMulti-provider LLM routing, cost tracking, no vendor lock-inGo · Envoy · Redis
      M2 — RAG PlatformHybrid semantic + BM25 search, 200K+ docs indexed, p95 <280msPython · FastAPI · pgvector · Kafka
      M3 — Agent OrchestratorDurable agent workflows with vector memory, 3M+ executions/dayPython · Temporal · pgvector · MCP
      M4 — LLM Eval PlatformContinuous quality monitoring + drift detection, 2M+ evals/dayPython · LLM-as-judge · S3
      M5 — Event MeshReal-time AI inference on event streams, sub-second latencyPython · Kafka · Redis Streams
      Platform pitch: processing 12K+ RPS with p95 <150ms, validated with k6 load tests on Kubernetes simulating 20K+ concurrent users — using Go, Python, Kafka, Temporal, pgvector, and Envoy.
      🛠️ Tech Stack
      Languages
      PythonGoTypeScriptJavaScriptRuby
      AI / ML
      AnthropicOpenAIAWS BedrockpgvectorTemporalMCP
      Backend & APIs
      FastAPINode.jsRailsLaravel
      Cloud & Infrastructure
      AWSKubernetesDockerEnvoyKafkaPostgreSQLRedis
      Observability & Testing
      PrometheusGrafanaOpenTelemetrypytestRSpecCypress
      📊 GitHub Stats
      GitHub Stats
      GitHub Streak
      Top Languages
      📫 Connect with me
      LinkedInEmailGitHub
      ⭐️ From vnponce — open to freelance & collaboration on AI infrastructure projects
      
Pinned
Loading
      1. healthcare-intake-coordination-systemhealthcare-intake-coordination-systemPublic
        
A small multi-agent AI system for healthcare intake coordination, built to learn multi-agent orchestration patterns end-to-end without an SDK

        Python
1

      2. football-intelligence-agentfootball-intelligence-agentPublic
        
AI-powered serverless agent that answers football questions using AWS Lambda and Claude AI

        JavaScript
      3. mundial-ticket-agentmundial-ticket-agentPublic
        
small learning project where I explored integrating AWS Bedrock with Lambda to create a virtual assistant for World Cup ticket registrations.

        TypeScript
      4. SeederMXSeederMXPublic
        
This project shows Laravel model factories to generate 'Estados' 'Municipios' from México. 
        PHP
8

9

      5. deliveries-exercisedeliveries-exercisePublic
        
Deliveries exercise with react using TDD

        JavaScript
      6. apartadoenlineaapartadoenlineaPublic
        
Main idea is to have a sort of ecom but schedulling the orders to specific day, time and store with its owb dashboard to track orders.

        PHP
      
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

      Skip to content
      View vnponce's full-sized avatar
      12
followers
 · 1
following

        Achievements
        Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
        Achievements
        Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
        
Block or report vnponce

        Block user
        
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

        
You must be logged in to block users.

        
Content in all repositories owned by your account will be closed.

        
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

        Report abuse
        
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

        Report abuse
        vnponce/README.md
        Hi there 👋, I'm Abel Ponce
        Senior AI Backend Engineer · Building production AI infrastructure
        LinkedInEmailLocationStatus
        🚀 About Me
        Senior AI Engineer with 10 years of experience shipping production backend services. Currently at Amazon (AWS — Amazon Connect) building systems that execute automated call flows at high scale, while building a multi-tenant AI Infrastructure Platform on the side — load-tested at 12K+ RPS with p95 <150ms on Kubernetes.
        Specialized in AI agents, LLM orchestration, RAG, multi-provider LLM gateways, and event-driven microservices. Background spanning logistics (Nuvocargo), e-commerce (Lovevery), and cloud infra at Amazon. Working remotely from 🇲🇽 Mexico.
        • 🔭 Currently shipping at Amazon Connect Flow — TypeScript · AWS CDK · Lambda
        • 🤖 Building a modular AI Infrastructure Platform — 5 independent services, production-grade
        • 🌱 Going deep on Go, Temporal, Kafka, pgvector, and distributed systems
        • 💬 Ask me about AI agents, RAG pipelines, LLM gateways, or scaling backend services
        • 📫 Reach me: vnponce8@gmail.com
        🤖 Currently Building — AI Infrastructure Platform
        A modular platform that lets companies integrate production-grade AI without building infra from scratch. Each module is an independent service sharing auth, billing, and observability.
        ModuleWhat it solvesStack
        M1 — AI GatewayMulti-provider LLM routing, cost tracking, no vendor lock-inGo · Envoy · Redis
        M2 — RAG PlatformHybrid semantic + BM25 search, 200K+ docs indexed, p95 <280msPython · FastAPI · pgvector · Kafka
        M3 — Agent OrchestratorDurable agent workflows with vector memory, 3M+ executions/dayPython · Temporal · pgvector · MCP
        M4 — LLM Eval PlatformContinuous quality monitoring + drift detection, 2M+ evals/dayPython · LLM-as-judge · S3
        M5 — Event MeshReal-time AI inference on event streams, sub-second latencyPython · Kafka · Redis Streams
        Platform pitch: processing 12K+ RPS with p95 <150ms, validated with k6 load tests on Kubernetes simulating 20K+ concurrent users — using Go, Python, Kafka, Temporal, pgvector, and Envoy.
        🛠️ Tech Stack
        Languages
        PythonGoTypeScriptJavaScriptRuby
        AI / ML
        AnthropicOpenAIAWS BedrockpgvectorTemporalMCP
        Backend & APIs
        FastAPINode.jsRailsLaravel
        Cloud & Infrastructure
        AWSKubernetesDockerEnvoyKafkaPostgreSQLRedis
        Observability & Testing
        PrometheusGrafanaOpenTelemetrypytestRSpecCypress
        📊 GitHub Stats
        GitHub Stats
        GitHub Streak
        Top Languages
        📫 Connect with me
        LinkedInEmailGitHub
        ⭐️ From vnponce — open to freelance & collaboration on AI infrastructure projects
        
Pinned
Loading
        1. healthcare-intake-coordination-systemhealthcare-intake-coordination-systemPublic
          
A small multi-agent AI system for healthcare intake coordination, built to learn multi-agent orchestration patterns end-to-end without an SDK

          Python
1

        2. football-intelligence-agentfootball-intelligence-agentPublic
          
AI-powered serverless agent that answers football questions using AWS Lambda and Claude AI

          JavaScript
        3. mundial-ticket-agentmundial-ticket-agentPublic
          
small learning project where I explored integrating AWS Bedrock with Lambda to create a virtual assistant for World Cup ticket registrations.

          TypeScript
        4. SeederMXSeederMXPublic
          
This project shows Laravel model factories to generate 'Estados' 'Municipios' from México. 
          PHP
8

9

        5. deliveries-exercisedeliveries-exercisePublic
          
Deliveries exercise with react using TDD

          JavaScript
        6. apartadoenlineaapartadoenlineaPublic
          
Main idea is to have a sort of ecom but schedulling the orders to specific day, time and store with its owb dashboard to track orders.

          PHP
        
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

        Skip to content
        View vnponce's full-sized avatar
        12
followers
 · 1
following

          Achievements
          Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
          Achievements
          Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
          
Block or report vnponce

          Block user
          
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

          
You must be logged in to block users.

          
Content in all repositories owned by your account will be closed.

          
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

          Report abuse
          
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

          Report abuse
          vnponce/README.md
          Hi there 👋, I'm Abel Ponce
          Senior AI Backend Engineer · Building production AI infrastructure
          LinkedInEmailLocationStatus
          🚀 About Me
          Senior AI Engineer with 10 years of experience shipping production backend services. Currently at Amazon (AWS — Amazon Connect) building systems that execute automated call flows at high scale, while building a multi-tenant AI Infrastructure Platform on the side — load-tested at 12K+ RPS with p95 <150ms on Kubernetes.
          Specialized in AI agents, LLM orchestration, RAG, multi-provider LLM gateways, and event-driven microservices. Background spanning logistics (Nuvocargo), e-commerce (Lovevery), and cloud infra at Amazon. Working remotely from 🇲🇽 Mexico.
          • 🔭 Currently shipping at Amazon Connect Flow — TypeScript · AWS CDK · Lambda
          • 🤖 Building a modular AI Infrastructure Platform — 5 independent services, production-grade
          • 🌱 Going deep on Go, Temporal, Kafka, pgvector, and distributed systems
          • 💬 Ask me about AI agents, RAG pipelines, LLM gateways, or scaling backend services
          • 📫 Reach me: vnponce8@gmail.com
          🤖 Currently Building — AI Infrastructure Platform
          A modular platform that lets companies integrate production-grade AI without building infra from scratch. Each module is an independent service sharing auth, billing, and observability.
          ModuleWhat it solvesStack
          M1 — AI GatewayMulti-provider LLM routing, cost tracking, no vendor lock-inGo · Envoy · Redis
          M2 — RAG PlatformHybrid semantic + BM25 search, 200K+ docs indexed, p95 <280msPython · FastAPI · pgvector · Kafka
          M3 — Agent OrchestratorDurable agent workflows with vector memory, 3M+ executions/dayPython · Temporal · pgvector · MCP
          M4 — LLM Eval PlatformContinuous quality monitoring + drift detection, 2M+ evals/dayPython · LLM-as-judge · S3
          M5 — Event MeshReal-time AI inference on event streams, sub-second latencyPython · Kafka · Redis Streams
          Platform pitch: processing 12K+ RPS with p95 <150ms, validated with k6 load tests on Kubernetes simulating 20K+ concurrent users — using Go, Python, Kafka, Temporal, pgvector, and Envoy.
          🛠️ Tech Stack
          Languages
          PythonGoTypeScriptJavaScriptRuby
          AI / ML
          AnthropicOpenAIAWS BedrockpgvectorTemporalMCP
          Backend & APIs
          FastAPINode.jsRailsLaravel
          Cloud & Infrastructure
          AWSKubernetesDockerEnvoyKafkaPostgreSQLRedis
          Observability & Testing
          PrometheusGrafanaOpenTelemetrypytestRSpecCypress
          📊 GitHub Stats
          GitHub Stats
          GitHub Streak
          Top Languages
          📫 Connect with me
          LinkedInEmailGitHub
          ⭐️ From vnponce — open to freelance & collaboration on AI infrastructure projects
          
Pinned
Loading
          1. healthcare-intake-coordination-systemhealthcare-intake-coordination-systemPublic
            
A small multi-agent AI system for healthcare intake coordination, built to learn multi-agent orchestration patterns end-to-end without an SDK

            Python
1

          2. football-intelligence-agentfootball-intelligence-agentPublic
            
AI-powered serverless agent that answers football questions using AWS Lambda and Claude AI

            JavaScript
          3. mundial-ticket-agentmundial-ticket-agentPublic
            
small learning project where I explored integrating AWS Bedrock with Lambda to create a virtual assistant for World Cup ticket registrations.

            TypeScript
          4. SeederMXSeederMXPublic
            
This project shows Laravel model factories to generate 'Estados' 'Municipios' from México. 
            PHP
8

9

          5. deliveries-exercisedeliveries-exercisePublic
            
Deliveries exercise with react using TDD

            JavaScript
          6. apartadoenlineaapartadoenlineaPublic
            
Main idea is to have a sort of ecom but schedulling the orders to specific day, time and store with its owb dashboard to track orders.

            PHP
          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

          Skip to content
          View vnponce's full-sized avatar
          12
followers
 · 1
following

            Achievements
            Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
            Achievements
            Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
            
Block or report vnponce

            Block user
            
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

            
You must be logged in to block users.

            
Content in all repositories owned by your account will be closed.

            
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

            Report abuse
            
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

            Report abuse
            vnponce/README.md
            Hi there 👋, I'm Abel Ponce
            Senior AI Backend Engineer · Building production AI infrastructure
            LinkedInEmailLocationStatus
            🚀 About Me
            Senior AI Engineer with 10 years of experience shipping production backend services. Currently at Amazon (AWS — Amazon Connect) building systems that execute automated call flows at high scale, while building a multi-tenant AI Infrastructure Platform on the side — load-tested at 12K+ RPS with p95 <150ms on Kubernetes.
            Specialized in AI agents, LLM orchestration, RAG, multi-provider LLM gateways, and event-driven microservices. Background spanning logistics (Nuvocargo), e-commerce (Lovevery), and cloud infra at Amazon. Working remotely from 🇲🇽 Mexico.
            • 🔭 Currently shipping at Amazon Connect Flow — TypeScript · AWS CDK · Lambda
            • 🤖 Building a modular AI Infrastructure Platform — 5 independent services, production-grade
            • 🌱 Going deep on Go, Temporal, Kafka, pgvector, and distributed systems
            • 💬 Ask me about AI agents, RAG pipelines, LLM gateways, or scaling backend services
            • 📫 Reach me: vnponce8@gmail.com
            🤖 Currently Building — AI Infrastructure Platform
            A modular platform that lets companies integrate production-grade AI without building infra from scratch. Each module is an independent service sharing auth, billing, and observability.
            ModuleWhat it solvesStack
            M1 — AI GatewayMulti-provider LLM routing, cost tracking, no vendor lock-inGo · Envoy · Redis
            M2 — RAG PlatformHybrid semantic + BM25 search, 200K+ docs indexed, p95 <280msPython · FastAPI · pgvector · Kafka
            M3 — Agent OrchestratorDurable agent workflows with vector memory, 3M+ executions/dayPython · Temporal · pgvector · MCP
            M4 — LLM Eval PlatformContinuous quality monitoring + drift detection, 2M+ evals/dayPython · LLM-as-judge · S3
            M5 — Event MeshReal-time AI inference on event streams, sub-second latencyPython · Kafka · Redis Streams
            Platform pitch: processing 12K+ RPS with p95 <150ms, validated with k6 load tests on Kubernetes simulating 20K+ concurrent users — using Go, Python, Kafka, Temporal, pgvector, and Envoy.
            🛠️ Tech Stack
            Languages
            PythonGoTypeScriptJavaScriptRuby
            AI / ML
            AnthropicOpenAIAWS BedrockpgvectorTemporalMCP
            Backend & APIs
            FastAPINode.jsRailsLaravel
            Cloud & Infrastructure
            AWSKubernetesDockerEnvoyKafkaPostgreSQLRedis
            Observability & Testing
            PrometheusGrafanaOpenTelemetrypytestRSpecCypress
            📊 GitHub Stats
            GitHub Stats
            GitHub Streak
            Top Languages
            📫 Connect with me
            LinkedInEmailGitHub
            ⭐️ From vnponce — open to freelance & collaboration on AI infrastructure projects
            
Pinned
Loading
            1. healthcare-intake-coordination-systemhealthcare-intake-coordination-systemPublic
              
A small multi-agent AI system for healthcare intake coordination, built to learn multi-agent orchestration patterns end-to-end without an SDK

              Python
1

            2. football-intelligence-agentfootball-intelligence-agentPublic
              
AI-powered serverless agent that answers football questions using AWS Lambda and Claude AI

              JavaScript
            3. mundial-ticket-agentmundial-ticket-agentPublic
              
small learning project where I explored integrating AWS Bedrock with Lambda to create a virtual assistant for World Cup ticket registrations.

              TypeScript
            4. SeederMXSeederMXPublic
              
This project shows Laravel model factories to generate 'Estados' 'Municipios' from México. 
              PHP
8

9

            5. deliveries-exercisedeliveries-exercisePublic
              
Deliveries exercise with react using TDD

              JavaScript
            6. apartadoenlineaapartadoenlineaPublic
              
Main idea is to have a sort of ecom but schedulling the orders to specific day, time and store with its owb dashboard to track orders.

              PHP
            
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

            Skip to content
            View vnponce's full-sized avatar
            12
followers
 · 1
following

              Achievements
              Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
              Achievements
              Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
              
Block or report vnponce

              Block user
              
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

              
You must be logged in to block users.

              
Content in all repositories owned by your account will be closed.

              
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

              Report abuse
              
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

              Report abuse
              vnponce/README.md
              Hi there 👋, I'm Abel Ponce
              Senior AI Backend Engineer · Building production AI infrastructure
              LinkedInEmailLocationStatus
              🚀 About Me
              Senior AI Engineer with 10 years of experience shipping production backend services. Currently at Amazon (AWS — Amazon Connect) building systems that execute automated call flows at high scale, while building a multi-tenant AI Infrastructure Platform on the side — load-tested at 12K+ RPS with p95 <150ms on Kubernetes.
              Specialized in AI agents, LLM orchestration, RAG, multi-provider LLM gateways, and event-driven microservices. Background spanning logistics (Nuvocargo), e-commerce (Lovevery), and cloud infra at Amazon. Working remotely from 🇲🇽 Mexico.
              • 🔭 Currently shipping at Amazon Connect Flow — TypeScript · AWS CDK · Lambda
              • 🤖 Building a modular AI Infrastructure Platform — 5 independent services, production-grade
              • 🌱 Going deep on Go, Temporal, Kafka, pgvector, and distributed systems
              • 💬 Ask me about AI agents, RAG pipelines, LLM gateways, or scaling backend services
              • 📫 Reach me: vnponce8@gmail.com
              🤖 Currently Building — AI Infrastructure Platform
              A modular platform that lets companies integrate production-grade AI without building infra from scratch. Each module is an independent service sharing auth, billing, and observability.
              ModuleWhat it solvesStack
              M1 — AI GatewayMulti-provider LLM routing, cost tracking, no vendor lock-inGo · Envoy · Redis
              M2 — RAG PlatformHybrid semantic + BM25 search, 200K+ docs indexed, p95 <280msPython · FastAPI · pgvector · Kafka
              M3 — Agent OrchestratorDurable agent workflows with vector memory, 3M+ executions/dayPython · Temporal · pgvector · MCP
              M4 — LLM Eval PlatformContinuous quality monitoring + drift detection, 2M+ evals/dayPython · LLM-as-judge · S3
              M5 — Event MeshReal-time AI inference on event streams, sub-second latencyPython · Kafka · Redis Streams
              Platform pitch: processing 12K+ RPS with p95 <150ms, validated with k6 load tests on Kubernetes simulating 20K+ concurrent users — using Go, Python, Kafka, Temporal, pgvector, and Envoy.
              🛠️ Tech Stack
              Languages
              PythonGoTypeScriptJavaScriptRuby
              AI / ML
              AnthropicOpenAIAWS BedrockpgvectorTemporalMCP
              Backend & APIs
              FastAPINode.jsRailsLaravel
              Cloud & Infrastructure
              AWSKubernetesDockerEnvoyKafkaPostgreSQLRedis
              Observability & Testing
              PrometheusGrafanaOpenTelemetrypytestRSpecCypress
              📊 GitHub Stats
              GitHub Stats
              GitHub Streak
              Top Languages
              📫 Connect with me
              LinkedInEmailGitHub
              ⭐️ From vnponce — open to freelance & collaboration on AI infrastructure projects
              
Pinned
Loading
              1. healthcare-intake-coordination-systemhealthcare-intake-coordination-systemPublic
                
A small multi-agent AI system for healthcare intake coordination, built to learn multi-agent orchestration patterns end-to-end without an SDK

                Python
1

              2. football-intelligence-agentfootball-intelligence-agentPublic
                
AI-powered serverless agent that answers football questions using AWS Lambda and Claude AI

                JavaScript
              3. mundial-ticket-agentmundial-ticket-agentPublic
                
small learning project where I explored integrating AWS Bedrock with Lambda to create a virtual assistant for World Cup ticket registrations.

                TypeScript
              4. SeederMXSeederMXPublic
                
This project shows Laravel model factories to generate 'Estados' 'Municipios' from México. 
                PHP
8

9

              5. deliveries-exercisedeliveries-exercisePublic
                
Deliveries exercise with react using TDD

                JavaScript
              6. apartadoenlineaapartadoenlineaPublic
                
Main idea is to have a sort of ecom but schedulling the orders to specific day, time and store with its owb dashboard to track orders.

                PHP
              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

              Skip to content
              View vnponce's full-sized avatar
              12
followers
 · 1
following

                Achievements
                Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
                Achievements
                Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
                
Block or report vnponce

                Block user
                
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

                
You must be logged in to block users.

                
Content in all repositories owned by your account will be closed.

                
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

                Report abuse
                
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

                Report abuse
                vnponce/README.md
                Hi there 👋, I'm Abel Ponce
                Senior AI Backend Engineer · Building production AI infrastructure
                LinkedInEmailLocationStatus
                🚀 About Me
                Senior AI Engineer with 10 years of experience shipping production backend services. Currently at Amazon (AWS — Amazon Connect) building systems that execute automated call flows at high scale, while building a multi-tenant AI Infrastructure Platform on the side — load-tested at 12K+ RPS with p95 <150ms on Kubernetes.
                Specialized in AI agents, LLM orchestration, RAG, multi-provider LLM gateways, and event-driven microservices. Background spanning logistics (Nuvocargo), e-commerce (Lovevery), and cloud infra at Amazon. Working remotely from 🇲🇽 Mexico.
                • 🔭 Currently shipping at Amazon Connect Flow — TypeScript · AWS CDK · Lambda
                • 🤖 Building a modular AI Infrastructure Platform — 5 independent services, production-grade
                • 🌱 Going deep on Go, Temporal, Kafka, pgvector, and distributed systems
                • 💬 Ask me about AI agents, RAG pipelines, LLM gateways, or scaling backend services
                • 📫 Reach me: vnponce8@gmail.com
                🤖 Currently Building — AI Infrastructure Platform
                A modular platform that lets companies integrate production-grade AI without building infra from scratch. Each module is an independent service sharing auth, billing, and observability.
                ModuleWhat it solvesStack
                M1 — AI GatewayMulti-provider LLM routing, cost tracking, no vendor lock-inGo · Envoy · Redis
                M2 — RAG PlatformHybrid semantic + BM25 search, 200K+ docs indexed, p95 <280msPython · FastAPI · pgvector · Kafka
                M3 — Agent OrchestratorDurable agent workflows with vector memory, 3M+ executions/dayPython · Temporal · pgvector · MCP
                M4 — LLM Eval PlatformContinuous quality monitoring + drift detection, 2M+ evals/dayPython · LLM-as-judge · S3
                M5 — Event MeshReal-time AI inference on event streams, sub-second latencyPython · Kafka · Redis Streams
                Platform pitch: processing 12K+ RPS with p95 <150ms, validated with k6 load tests on Kubernetes simulating 20K+ concurrent users — using Go, Python, Kafka, Temporal, pgvector, and Envoy.
                🛠️ Tech Stack
                Languages
                PythonGoTypeScriptJavaScriptRuby
                AI / ML
                AnthropicOpenAIAWS BedrockpgvectorTemporalMCP
                Backend & APIs
                FastAPINode.jsRailsLaravel
                Cloud & Infrastructure
                AWSKubernetesDockerEnvoyKafkaPostgreSQLRedis
                Observability & Testing
                PrometheusGrafanaOpenTelemetrypytestRSpecCypress
                📊 GitHub Stats
                GitHub Stats
                GitHub Streak
                Top Languages
                📫 Connect with me
                LinkedInEmailGitHub
                ⭐️ From vnponce — open to freelance & collaboration on AI infrastructure projects
                
Pinned
Loading
                1. healthcare-intake-coordination-systemhealthcare-intake-coordination-systemPublic
                  
A small multi-agent AI system for healthcare intake coordination, built to learn multi-agent orchestration patterns end-to-end without an SDK

                  Python
1

                2. football-intelligence-agentfootball-intelligence-agentPublic
                  
AI-powered serverless agent that answers football questions using AWS Lambda and Claude AI

                  JavaScript
                3. mundial-ticket-agentmundial-ticket-agentPublic
                  
small learning project where I explored integrating AWS Bedrock with Lambda to create a virtual assistant for World Cup ticket registrations.

                  TypeScript
                4. SeederMXSeederMXPublic
                  
This project shows Laravel model factories to generate 'Estados' 'Municipios' from México. 
                  PHP
8

9

                5. deliveries-exercisedeliveries-exercisePublic
                  
Deliveries exercise with react using TDD

                  JavaScript
                6. apartadoenlineaapartadoenlineaPublic
                  
Main idea is to have a sort of ecom but schedulling the orders to specific day, time and store with its owb dashboard to track orders.

                  PHP
                
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

                Skip to content
                View vnponce's full-sized avatar
                12
followers
 · 1
following

                  Achievements
                  Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
                  Achievements
                  Achievement: Pair Extraordinairex4Achievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor
                  
Block or report vnponce

                  Block user
                  
Prevent this user from interacting with your repositories and sending you notifications.
Learn more about blocking users.

                  
You must be logged in to block users.

                  
Content in all repositories owned by your account will be closed.

                  
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.

                  Report abuse
                  
Contact GitHub support about this user’s behavior.
Learn more about reporting abuse.

                  Report abuse
                  vnponce/README.md
                  Hi there 👋, I'm Abel Ponce
                  Senior AI Backend Engineer · Building production AI infrastructure
                  LinkedInEmailLocationStatus
                  🚀 About Me
                  Senior AI Engineer with 10 years of experience shipping production backend services. Currently at Amazon (AWS — Amazon Connect) building systems that execute automated call flows at high scale, while building a multi-tenant AI Infrastructure Platform on the side — load-tested at 12K+ RPS with p95 <150ms on Kubernetes.
                  Specialized in AI agents, LLM orchestration, RAG, multi-provider LLM gateways, and event-driven microservices. Background spanning logistics (Nuvocargo), e-commerce (Lovevery), and cloud infra at Amazon. Working remotely from 🇲🇽 Mexico.
                  • 🔭 Currently shipping at Amazon Connect Flow — TypeScript · AWS CDK · Lambda
                  • 🤖 Building a modular AI Infrastructure Platform — 5 independent services, production-grade
                  • 🌱 Going deep on Go, Temporal, Kafka, pgvector, and distributed systems
                  • 💬 Ask me about AI agents, RAG pipelines, LLM gateways, or scaling backend services
                  • 📫 Reach me: vnponce8@gmail.com
                  🤖 Currently Building — AI Infrastructure Platform
                  A modular platform that lets companies integrate production-grade AI without building infra from scratch. Each module is an independent service sharing auth, billing, and observability.
                  ModuleWhat it solvesStack
                  M1 — AI GatewayMulti-provider LLM routing, cost tracking, no vendor lock-inGo · Envoy · Redis
                  M2 — RAG PlatformHybrid semantic + BM25 search, 200K+ docs indexed, p95 <280msPython · FastAPI · pgvector · Kafka
                  M3 — Agent OrchestratorDurable agent workflows with vector memory, 3M+ executions/dayPython · Temporal · pgvector · MCP
                  M4 — LLM Eval PlatformContinuous quality monitoring + drift detection, 2M+ evals/dayPython · LLM-as-judge · S3
                  M5 — Event MeshReal-time AI inference on event streams, sub-second latencyPython · Kafka · Redis Streams
                  Platform pitch: processing 12K+ RPS with p95 <150ms, validated with k6 load tests on Kubernetes simulating 20K+ concurrent users — using Go, Python, Kafka, Temporal, pgvector, and Envoy.
                  🛠️ Tech Stack
                  Languages
                  PythonGoTypeScriptJavaScriptRuby
                  AI / ML
                  AnthropicOpenAIAWS BedrockpgvectorTemporalMCP
                  Backend & APIs
                  FastAPINode.jsRailsLaravel
                  Cloud & Infrastructure
                  AWSKubernetesDockerEnvoyKafkaPostgreSQLRedis
                  Observability & Testing
                  PrometheusGrafanaOpenTelemetrypytestRSpecCypress
                  📊 GitHub Stats
                  GitHub Stats
                  GitHub Streak
                  Top Languages
                  📫 Connect with me
                  LinkedInEmailGitHub
                  ⭐️ From vnponce — open to freelance & collaboration on AI infrastructure projects
                  
Pinned
Loading
                  1. healthcare-intake-coordination-systemhealthcare-intake-coordination-systemPublic
                    
A small multi-agent AI system for healthcare intake coordination, built to learn multi-agent orchestration patterns end-to-end without an SDK

                    Python
1

                  2. football-intelligence-agentfootball-intelligence-agentPublic
                    
AI-powered serverless agent that answers football questions using AWS Lambda and Claude AI

                    JavaScript
                  3. mundial-ticket-agentmundial-ticket-agentPublic
                    
small learning project where I explored integrating AWS Bedrock with Lambda to create a virtual assistant for World Cup ticket registrations.

                    TypeScript
                  4. SeederMXSeederMXPublic
                    
This project shows Laravel model factories to generate 'Estados' 'Municipios' from México. 
                    PHP
8

9

                  5. deliveries-exercisedeliveries-exercisePublic
                    
Deliveries exercise with react using TDD

                    JavaScript
                  6. apartadoenlineaapartadoenlineaPublic
                    
Main idea is to have a sort of ecom but schedulling the orders to specific day, time and store with its owb dashboard to track orders.

                    PHP