View iggykimi's full-sized avatar

    Achievements

    Achievement: YOLOAchievement: Quickdraw

    Achievements

    Achievement: YOLOAchievement: Quickdraw

    Block or report iggykimi

    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
    iggykimi/README.md

    Ignacio Montero Gil

    Ignacio Montero Gil

    Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).

    At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.

    LLM systems

    • Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
    • Document intelligence: OCR + LLM extraction pipelines integrated with client systems
    • Natural-language querying over corporate databases
    • GenAI adoption training and mentoring for 30+ companies and public bodies

    Data science & ML

    • Predictive models for business problems: forecasting, classification, regression
    • Computer vision systems delivered to clients
    • Mathematical optimization for operational and logistics problems
    • Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)

    Highlights

    • 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
    • MSc thesis: LLM techniques for predicting the market impact of financial news
    • Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences

    Now

    Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).

    Stack

    Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff

    Contact

    Zaragoza, Spain · LinkedIn

    Selected projects

    catalan-spanish-kindle-dictionaryFree Catalan→Spanish Kindle dictionary: 54.5k lemmas, ~1.1M inflected forms. Data pipeline merging FreeDict, Softcatalà and Apertium with automated format verification. GPL-3.0.
    energy-forecast-benchDay-ahead forecasting of Spanish electricity demand: walk-forward backtest over 11 years of hourly data, no data leakage. LSTM beats LightGBM (−0.54 pp MAPE) and closes 44% of the gap to the official REE forecast. MIT.
    llm-judge-calibration-gridLLM-as-judge calibration study: 6 judge configurations vs human gold labels on financial QA. Finding: 96% agreement can coexist with zero error recall. Accuracy alone doesn't measure judge quality.

    Popular repositories Loading

    1. iggykimi iggykimiPublic

      Ignacio Montero Gil — AI engineer. Agents, RAG and evaluation tooling with production discipline.

    2. oh-my-openagent oh-my-openagentPublic

      Forked from code-yeongyu/oh-my-openagent

      omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

      TypeScript

    3. oh-my-pi oh-my-piPublic

      Forked from can1357/oh-my-pi

      ⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

      TypeScript

    4. langgraph langgraphPublic

      Forked from langchain-ai/langgraph

      Build resilient agents.

      Python

    5. gemini-cli gemini-cliPublic

      Forked from google-gemini/gemini-cli

      An open-source AI agent that brings the power of Gemini directly into your terminal.

      TypeScript

    6. llm-judge-calibration-grid llm-judge-calibration-gridPublic

      How reliable are LLM judges? A calibration grid of 6 judge configurations against human gold labels, with error-recall analysis.

      Python

    , '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 iggykimi's full-sized avatar
      Achievements
      Achievement: YOLOAchievement: Quickdraw
      Achievements
      Achievement: YOLOAchievement: Quickdraw
      
Block or report iggykimi

      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
      iggykimi/README.md
      Ignacio Montero Gil
      Ignacio Montero Gil
      Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).
      At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.
      LLM systems
      • Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
      • Document intelligence: OCR + LLM extraction pipelines integrated with client systems
      • Natural-language querying over corporate databases
      • GenAI adoption training and mentoring for 30+ companies and public bodies
      Data science & ML
      • Predictive models for business problems: forecasting, classification, regression
      • Computer vision systems delivered to clients
      • Mathematical optimization for operational and logistics problems
      • Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)
      Highlights
      • 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
      • MSc thesis: LLM techniques for predicting the market impact of financial news
      • Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences
      Now
      Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).
      Stack
      Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff
      Contact
      Zaragoza, Spain · LinkedIn
      Selected projects
      catalan-spanish-kindle-dictionaryFree Catalan→Spanish Kindle dictionary: 54.5k lemmas, ~1.1M inflected forms. Data pipeline merging FreeDict, Softcatalà and Apertium with automated format verification. GPL-3.0.
      energy-forecast-benchDay-ahead forecasting of Spanish electricity demand: walk-forward backtest over 11 years of hourly data, no data leakage. LSTM beats LightGBM (−0.54 pp MAPE) and closes 44% of the gap to the official REE forecast. MIT.
      llm-judge-calibration-gridLLM-as-judge calibration study: 6 judge configurations vs human gold labels on financial QA. Finding: 96% agreement can coexist with zero error recall. Accuracy alone doesn't measure judge quality.
      
Popular repositories
Loading
      1. 
iggykimi
iggykimiPublic
        
Ignacio Montero Gil — AI engineer. Agents, RAG and evaluation tooling with production discipline.

      2. 
oh-my-openagent
oh-my-openagentPublic
        
Forked from code-yeongyu/oh-my-openagent
        
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

        TypeScript
      3. 
oh-my-pi
oh-my-piPublic
        
Forked from can1357/oh-my-pi
        
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

        TypeScript
      4. 
langgraph
langgraphPublic
        
Forked from langchain-ai/langgraph
        
Build resilient agents.

        Python
      5. 
gemini-cli
gemini-cliPublic
        
Forked from google-gemini/gemini-cli
        
An open-source AI agent that brings the power of Gemini directly into your terminal.

        TypeScript
      6. 
llm-judge-calibration-grid
llm-judge-calibration-gridPublic
        
How reliable are LLM judges? A calibration grid of 6 judge configurations against human gold labels, with error-recall analysis.

        Python
      
, '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 iggykimi's full-sized avatar
        Achievements
        Achievement: YOLOAchievement: Quickdraw
        Achievements
        Achievement: YOLOAchievement: Quickdraw
        
Block or report iggykimi

        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
        iggykimi/README.md
        Ignacio Montero Gil
        Ignacio Montero Gil
        Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).
        At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.
        LLM systems
        • Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
        • Document intelligence: OCR + LLM extraction pipelines integrated with client systems
        • Natural-language querying over corporate databases
        • GenAI adoption training and mentoring for 30+ companies and public bodies
        Data science & ML
        • Predictive models for business problems: forecasting, classification, regression
        • Computer vision systems delivered to clients
        • Mathematical optimization for operational and logistics problems
        • Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)
        Highlights
        • 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
        • MSc thesis: LLM techniques for predicting the market impact of financial news
        • Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences
        Now
        Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).
        Stack
        Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff
        Contact
        Zaragoza, Spain · LinkedIn
        Selected projects
        catalan-spanish-kindle-dictionaryFree Catalan→Spanish Kindle dictionary: 54.5k lemmas, ~1.1M inflected forms. Data pipeline merging FreeDict, Softcatalà and Apertium with automated format verification. GPL-3.0.
        energy-forecast-benchDay-ahead forecasting of Spanish electricity demand: walk-forward backtest over 11 years of hourly data, no data leakage. LSTM beats LightGBM (−0.54 pp MAPE) and closes 44% of the gap to the official REE forecast. MIT.
        llm-judge-calibration-gridLLM-as-judge calibration study: 6 judge configurations vs human gold labels on financial QA. Finding: 96% agreement can coexist with zero error recall. Accuracy alone doesn't measure judge quality.
        
Popular repositories
Loading
        1. 
iggykimi
iggykimiPublic
          
Ignacio Montero Gil — AI engineer. Agents, RAG and evaluation tooling with production discipline.

        2. 
oh-my-openagent
oh-my-openagentPublic
          
Forked from code-yeongyu/oh-my-openagent
          
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

          TypeScript
        3. 
oh-my-pi
oh-my-piPublic
          
Forked from can1357/oh-my-pi
          
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

          TypeScript
        4. 
langgraph
langgraphPublic
          
Forked from langchain-ai/langgraph
          
Build resilient agents.

          Python
        5. 
gemini-cli
gemini-cliPublic
          
Forked from google-gemini/gemini-cli
          
An open-source AI agent that brings the power of Gemini directly into your terminal.

          TypeScript
        6. 
llm-judge-calibration-grid
llm-judge-calibration-gridPublic
          
How reliable are LLM judges? A calibration grid of 6 judge configurations against human gold labels, with error-recall analysis.

          Python
        
, '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 iggykimi's full-sized avatar
          Achievements
          Achievement: YOLOAchievement: Quickdraw
          Achievements
          Achievement: YOLOAchievement: Quickdraw
          
Block or report iggykimi

          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
          iggykimi/README.md
          Ignacio Montero Gil
          Ignacio Montero Gil
          Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).
          At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.
          LLM systems
          • Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
          • Document intelligence: OCR + LLM extraction pipelines integrated with client systems
          • Natural-language querying over corporate databases
          • GenAI adoption training and mentoring for 30+ companies and public bodies
          Data science & ML
          • Predictive models for business problems: forecasting, classification, regression
          • Computer vision systems delivered to clients
          • Mathematical optimization for operational and logistics problems
          • Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)
          Highlights
          • 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
          • MSc thesis: LLM techniques for predicting the market impact of financial news
          • Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences
          Now
          Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).
          Stack
          Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff
          Contact
          Zaragoza, Spain · LinkedIn
          Selected projects
          catalan-spanish-kindle-dictionaryFree Catalan→Spanish Kindle dictionary: 54.5k lemmas, ~1.1M inflected forms. Data pipeline merging FreeDict, Softcatalà and Apertium with automated format verification. GPL-3.0.
          energy-forecast-benchDay-ahead forecasting of Spanish electricity demand: walk-forward backtest over 11 years of hourly data, no data leakage. LSTM beats LightGBM (−0.54 pp MAPE) and closes 44% of the gap to the official REE forecast. MIT.
          llm-judge-calibration-gridLLM-as-judge calibration study: 6 judge configurations vs human gold labels on financial QA. Finding: 96% agreement can coexist with zero error recall. Accuracy alone doesn't measure judge quality.
          
Popular repositories
Loading
          1. 
iggykimi
iggykimiPublic
            
Ignacio Montero Gil — AI engineer. Agents, RAG and evaluation tooling with production discipline.

          2. 
oh-my-openagent
oh-my-openagentPublic
            
Forked from code-yeongyu/oh-my-openagent
            
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

            TypeScript
          3. 
oh-my-pi
oh-my-piPublic
            
Forked from can1357/oh-my-pi
            
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

            TypeScript
          4. 
langgraph
langgraphPublic
            
Forked from langchain-ai/langgraph
            
Build resilient agents.

            Python
          5. 
gemini-cli
gemini-cliPublic
            
Forked from google-gemini/gemini-cli
            
An open-source AI agent that brings the power of Gemini directly into your terminal.

            TypeScript
          6. 
llm-judge-calibration-grid
llm-judge-calibration-gridPublic
            
How reliable are LLM judges? A calibration grid of 6 judge configurations against human gold labels, with error-recall analysis.

            Python
          
, '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 iggykimi's full-sized avatar
            Achievements
            Achievement: YOLOAchievement: Quickdraw
            Achievements
            Achievement: YOLOAchievement: Quickdraw
            
Block or report iggykimi

            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
            iggykimi/README.md
            Ignacio Montero Gil
            Ignacio Montero Gil
            Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).
            At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.
            LLM systems
            • Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
            • Document intelligence: OCR + LLM extraction pipelines integrated with client systems
            • Natural-language querying over corporate databases
            • GenAI adoption training and mentoring for 30+ companies and public bodies
            Data science & ML
            • Predictive models for business problems: forecasting, classification, regression
            • Computer vision systems delivered to clients
            • Mathematical optimization for operational and logistics problems
            • Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)
            Highlights
            • 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
            • MSc thesis: LLM techniques for predicting the market impact of financial news
            • Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences
            Now
            Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).
            Stack
            Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff
            Contact
            Zaragoza, Spain · LinkedIn
            Selected projects
            catalan-spanish-kindle-dictionaryFree Catalan→Spanish Kindle dictionary: 54.5k lemmas, ~1.1M inflected forms. Data pipeline merging FreeDict, Softcatalà and Apertium with automated format verification. GPL-3.0.
            energy-forecast-benchDay-ahead forecasting of Spanish electricity demand: walk-forward backtest over 11 years of hourly data, no data leakage. LSTM beats LightGBM (−0.54 pp MAPE) and closes 44% of the gap to the official REE forecast. MIT.
            llm-judge-calibration-gridLLM-as-judge calibration study: 6 judge configurations vs human gold labels on financial QA. Finding: 96% agreement can coexist with zero error recall. Accuracy alone doesn't measure judge quality.
            
Popular repositories
Loading
            1. 
iggykimi
iggykimiPublic
              
Ignacio Montero Gil — AI engineer. Agents, RAG and evaluation tooling with production discipline.

            2. 
oh-my-openagent
oh-my-openagentPublic
              
Forked from code-yeongyu/oh-my-openagent
              
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

              TypeScript
            3. 
oh-my-pi
oh-my-piPublic
              
Forked from can1357/oh-my-pi
              
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

              TypeScript
            4. 
langgraph
langgraphPublic
              
Forked from langchain-ai/langgraph
              
Build resilient agents.

              Python
            5. 
gemini-cli
gemini-cliPublic
              
Forked from google-gemini/gemini-cli
              
An open-source AI agent that brings the power of Gemini directly into your terminal.

              TypeScript
            6. 
llm-judge-calibration-grid
llm-judge-calibration-gridPublic
              
How reliable are LLM judges? A calibration grid of 6 judge configurations against human gold labels, with error-recall analysis.

              Python
            
, '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 iggykimi's full-sized avatar
              Achievements
              Achievement: YOLOAchievement: Quickdraw
              Achievements
              Achievement: YOLOAchievement: Quickdraw
              
Block or report iggykimi

              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
              iggykimi/README.md
              Ignacio Montero Gil
              Ignacio Montero Gil
              Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).
              At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.
              LLM systems
              • Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
              • Document intelligence: OCR + LLM extraction pipelines integrated with client systems
              • Natural-language querying over corporate databases
              • GenAI adoption training and mentoring for 30+ companies and public bodies
              Data science & ML
              • Predictive models for business problems: forecasting, classification, regression
              • Computer vision systems delivered to clients
              • Mathematical optimization for operational and logistics problems
              • Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)
              Highlights
              • 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
              • MSc thesis: LLM techniques for predicting the market impact of financial news
              • Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences
              Now
              Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).
              Stack
              Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff
              Contact
              Zaragoza, Spain · LinkedIn
              Selected projects
              catalan-spanish-kindle-dictionaryFree Catalan→Spanish Kindle dictionary: 54.5k lemmas, ~1.1M inflected forms. Data pipeline merging FreeDict, Softcatalà and Apertium with automated format verification. GPL-3.0.
              energy-forecast-benchDay-ahead forecasting of Spanish electricity demand: walk-forward backtest over 11 years of hourly data, no data leakage. LSTM beats LightGBM (−0.54 pp MAPE) and closes 44% of the gap to the official REE forecast. MIT.
              llm-judge-calibration-gridLLM-as-judge calibration study: 6 judge configurations vs human gold labels on financial QA. Finding: 96% agreement can coexist with zero error recall. Accuracy alone doesn't measure judge quality.
              
Popular repositories
Loading
              1. 
iggykimi
iggykimiPublic
                
Ignacio Montero Gil — AI engineer. Agents, RAG and evaluation tooling with production discipline.

              2. 
oh-my-openagent
oh-my-openagentPublic
                
Forked from code-yeongyu/oh-my-openagent
                
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

                TypeScript
              3. 
oh-my-pi
oh-my-piPublic
                
Forked from can1357/oh-my-pi
                
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

                TypeScript
              4. 
langgraph
langgraphPublic
                
Forked from langchain-ai/langgraph
                
Build resilient agents.

                Python
              5. 
gemini-cli
gemini-cliPublic
                
Forked from google-gemini/gemini-cli
                
An open-source AI agent that brings the power of Gemini directly into your terminal.

                TypeScript
              6. 
llm-judge-calibration-grid
llm-judge-calibration-gridPublic
                
How reliable are LLM judges? A calibration grid of 6 judge configurations against human gold labels, with error-recall analysis.

                Python
              
, '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 iggykimi's full-sized avatar
                Achievements
                Achievement: YOLOAchievement: Quickdraw
                Achievements
                Achievement: YOLOAchievement: Quickdraw
                
Block or report iggykimi

                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
                iggykimi/README.md
                Ignacio Montero Gil
                Ignacio Montero Gil
                Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).
                At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.
                LLM systems
                • Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
                • Document intelligence: OCR + LLM extraction pipelines integrated with client systems
                • Natural-language querying over corporate databases
                • GenAI adoption training and mentoring for 30+ companies and public bodies
                Data science & ML
                • Predictive models for business problems: forecasting, classification, regression
                • Computer vision systems delivered to clients
                • Mathematical optimization for operational and logistics problems
                • Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)
                Highlights
                • 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
                • MSc thesis: LLM techniques for predicting the market impact of financial news
                • Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences
                Now
                Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).
                Stack
                Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff
                Contact
                Zaragoza, Spain · LinkedIn
                Selected projects
                catalan-spanish-kindle-dictionaryFree Catalan→Spanish Kindle dictionary: 54.5k lemmas, ~1.1M inflected forms. Data pipeline merging FreeDict, Softcatalà and Apertium with automated format verification. GPL-3.0.
                energy-forecast-benchDay-ahead forecasting of Spanish electricity demand: walk-forward backtest over 11 years of hourly data, no data leakage. LSTM beats LightGBM (−0.54 pp MAPE) and closes 44% of the gap to the official REE forecast. MIT.
                llm-judge-calibration-gridLLM-as-judge calibration study: 6 judge configurations vs human gold labels on financial QA. Finding: 96% agreement can coexist with zero error recall. Accuracy alone doesn't measure judge quality.
                
Popular repositories
Loading
                1. 
iggykimi
iggykimiPublic
                  
Ignacio Montero Gil — AI engineer. Agents, RAG and evaluation tooling with production discipline.

                2. 
oh-my-openagent
oh-my-openagentPublic
                  
Forked from code-yeongyu/oh-my-openagent
                  
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

                  TypeScript
                3. 
oh-my-pi
oh-my-piPublic
                  
Forked from can1357/oh-my-pi
                  
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

                  TypeScript
                4. 
langgraph
langgraphPublic
                  
Forked from langchain-ai/langgraph
                  
Build resilient agents.

                  Python
                5. 
gemini-cli
gemini-cliPublic
                  
Forked from google-gemini/gemini-cli
                  
An open-source AI agent that brings the power of Gemini directly into your terminal.

                  TypeScript
                6. 
llm-judge-calibration-grid
llm-judge-calibration-gridPublic
                  
How reliable are LLM judges? A calibration grid of 6 judge configurations against human gold labels, with error-recall analysis.

                  Python
                
, '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 iggykimi's full-sized avatar
                  Achievements
                  Achievement: YOLOAchievement: Quickdraw
                  Achievements
                  Achievement: YOLOAchievement: Quickdraw
                  
Block or report iggykimi

                  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
                  iggykimi/README.md
                  Ignacio Montero Gil
                  Ignacio Montero Gil
                  Data scientist and AI engineer. I work on everything from classic machine learning, computer vision and mathematical optimization to multi-agent LLM systems in production. Mathematician, BSc and MSc in Mathematical Modelling, Statistics and Computation (Universidad de Zaragoza).
                  At Integra Tecnología I design, build and technically defend AI solutions for enterprise clients in banking, industry, healthcare, public sector and logistics, owning the work from scoping to deployment.
                  LLM systems
                  • Multi-agent assistants and conversational systems (LangGraph) deployed in production environments
                  • Document intelligence: OCR + LLM extraction pipelines integrated with client systems
                  • Natural-language querying over corporate databases
                  • GenAI adoption training and mentoring for 30+ companies and public bodies
                  Data science & ML
                  • Predictive models for business problems: forecasting, classification, regression
                  • Computer vision systems delivered to clients
                  • Mathematical optimization for operational and logistics problems
                  • Data pipelines, SQL and data quality. Previously financial-audit data automation at KPMG (Python, PostgreSQL, Docker, R)
                  Highlights
                  • 2nd prize, HACK THE VIBE hackathon: automatic requirement extraction and eligibility checking over Spanish public tenders
                  • MSc thesis: LLM techniques for predicting the market impact of financial news
                  • Trainer on LLM agents and Microsoft Copilot adoption for consulting and industry audiences
                  Now
                  Building the public side of this work: evaluation harnesses for agents, retrieval benchmarks, and contributions to the agent tooling I use daily (OpenCode, oh-my-openagent, Hermes Agent).
                  Stack
                  Python · LangGraph · scikit-learn · pandas · SQL / PostgreSQL · pgvector · FastAPI · Pydantic · Docker · Azure · pytest · Ruff
                  Contact
                  Zaragoza, Spain · LinkedIn
                  Selected projects
                  catalan-spanish-kindle-dictionaryFree Catalan→Spanish Kindle dictionary: 54.5k lemmas, ~1.1M inflected forms. Data pipeline merging FreeDict, Softcatalà and Apertium with automated format verification. GPL-3.0.
                  energy-forecast-benchDay-ahead forecasting of Spanish electricity demand: walk-forward backtest over 11 years of hourly data, no data leakage. LSTM beats LightGBM (−0.54 pp MAPE) and closes 44% of the gap to the official REE forecast. MIT.
                  llm-judge-calibration-gridLLM-as-judge calibration study: 6 judge configurations vs human gold labels on financial QA. Finding: 96% agreement can coexist with zero error recall. Accuracy alone doesn't measure judge quality.
                  
Popular repositories
Loading
                  1. 
iggykimi
iggykimiPublic
                    
Ignacio Montero Gil — AI engineer. Agents, RAG and evaluation tooling with production discipline.

                  2. 
oh-my-openagent
oh-my-openagentPublic
                    
Forked from code-yeongyu/oh-my-openagent
                    
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

                    TypeScript
                  3. 
oh-my-pi
oh-my-piPublic
                    
Forked from can1357/oh-my-pi
                    
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more

                    TypeScript
                  4. 
langgraph
langgraphPublic
                    
Forked from langchain-ai/langgraph
                    
Build resilient agents.

                    Python
                  5. 
gemini-cli
gemini-cliPublic
                    
Forked from google-gemini/gemini-cli
                    
An open-source AI agent that brings the power of Gemini directly into your terminal.

                    TypeScript
                  6. 
llm-judge-calibration-grid
llm-judge-calibration-gridPublic
                    
How reliable are LLM judges? A calibration grid of 6 judge configurations against human gold labels, with error-recall analysis.

                    Python