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Vedant817/README.md

Vedant Mahajan

Backend Systems · Distributed Systems · Cloud Infrastructure · AI Agents

I compile messy product ideas into APIs, workers, queues, and deployable systems — with boring reliability, observable failure modes, and architecture another engineer can debug.

PortfolioLinkedInEmailLeetCode

Pixel art bunny mascot

backend systems / queues / caches / logs / deploys

mode: curious systems gremlin · logs before vibes · retries with budgets · ship, observe, tighten

whoami --engineering

I work on the parts of software that keep running after the happy-path demo ends: API boundaries, worker queues, cache strategy, schema design, background jobs, deployment scripts, logs, and failure paths.

Current direction: Backend engineering with Java/Spring Boot, Node.js/TypeScript, Python, PostgreSQL, Redis, messaging systems, Docker/Kubernetes, and practical AI-agent workflows.

mental model: product flow -> API contract -> data model -> failure modes -> observability -> deploy

active_threads[]

  • [services] Designing production-oriented backends with explicit contracts and boringly reliable APIs.
  • [distributed] Studying retries, idempotency, queues, caching, consistency, and the failure modes between them.
  • [runtime] Going deeper with Kafka/RabbitMQ, Redis, Kubernetes, observability, and secure cloud deployment.
  • [agents] Building retrieval workflows and developer tools that automate real engineering work.
  • [interviews] Practising DSA, LLD, and system design for SDE/backend roles.

operating_principles.yaml

build → observe → break → debug → improve → automate
  • workflow: real — wire the actual path instead of hardcoding the demo.
  • failure_mode: expected — budget retries, set timeouts, degrade gracefully, and leave useful logs.
  • complexity_budget: guarded — keep the architecture legible before making it clever.
  • non_functionals: first_class — security, reliability, and observability ship with the feature.
  • done: verified — evidence before victory laps.

request_path.trace

request -> auth -> validate -> queue/cache -> db -> emit event -> trace/log/metric
If the system has...I start asking about...
APIscontracts, validation, idempotency, versioning, rate limits
Queuesretries, ordering, poison messages, replay, duplicate handling
Databasesindexes, transactions, migrations, connection pools, slow queries
Cachesinvalidation, TTLs, stampedes, consistency, fallback paths
Deploymentshealth checks, rollbacks, config, secrets, observability

toolchain.lock

Backend

Backend

Java · Spring Boot · Node.js · TypeScript · Python · FastAPI · Express.js · REST APIs

Data + Messaging

Data

PostgreSQL · MySQL · Redis · Kafka · RabbitMQ · MongoDB · database design

Infra + Cloud

Infra

Docker · Kubernetes · Nginx · GitHub Actions · AWS · Vercel · Linux

Engineering interests: distributed systems · system design · observability · reliability engineering · event-driven architecture · AI agents · developer experience

shipped_evidence.log

  • Worked across backend, automation, and cloud-platform software engineering contexts.
  • Built and validated REST APIs, service workflows, CI/CD-integrated checks, and database-backed systems.
  • Worked with recovery-oriented flows: health checks, failover thinking, alerts, and operational readiness.
  • Collaborated across software engineering, DevOps, and product boundaries while keeping implementation details appropriately scoped.

rabbit_hole.log

Writing notes on: idempotent APIs, Kafka delivery semantics, Redis rate limiting, database indexing, Kubernetes probes, distributed locks, retry/backoff strategies, DNS, networking, API reliability, LLD, and system design.

currently poking at: outbox pattern, backpressure, dead-letter queues, cache stampede control, trace IDs

now_playing

spotify-github-profile

commit_stream

Vedant Mahajan GitHub contribution activity graph

handshake

PortfolioLinkedInEmail

reliability = good defaults + observability + graceful failure

Pinned Loading

  1. DevRank-HermesDevRank-HermesPublic

    TypeScript

  2. DoneBondDoneBondPublic

    Solidity

  3. fogcachefogcachePublic

    Java

  4. SightBridgeSightBridgePublic

    TypeScript

, '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" + '
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Vedant817/README.md

Vedant Mahajan

Backend Systems · Distributed Systems · Cloud Infrastructure · AI Agents

I compile messy product ideas into APIs, workers, queues, and deployable systems — with boring reliability, observable failure modes, and architecture another engineer can debug.

PortfolioLinkedInEmailLeetCode

Pixel art bunny mascot

backend systems / queues / caches / logs / deploys

mode: curious systems gremlin · logs before vibes · retries with budgets · ship, observe, tighten

whoami --engineering

I work on the parts of software that keep running after the happy-path demo ends: API boundaries, worker queues, cache strategy, schema design, background jobs, deployment scripts, logs, and failure paths.

Current direction: Backend engineering with Java/Spring Boot, Node.js/TypeScript, Python, PostgreSQL, Redis, messaging systems, Docker/Kubernetes, and practical AI-agent workflows.

mental model: product flow -> API contract -> data model -> failure modes -> observability -> deploy

active_threads[]

  • [services] Designing production-oriented backends with explicit contracts and boringly reliable APIs.
  • [distributed] Studying retries, idempotency, queues, caching, consistency, and the failure modes between them.
  • [runtime] Going deeper with Kafka/RabbitMQ, Redis, Kubernetes, observability, and secure cloud deployment.
  • [agents] Building retrieval workflows and developer tools that automate real engineering work.
  • [interviews] Practising DSA, LLD, and system design for SDE/backend roles.

operating_principles.yaml

build → observe → break → debug → improve → automate
  • workflow: real — wire the actual path instead of hardcoding the demo.
  • failure_mode: expected — budget retries, set timeouts, degrade gracefully, and leave useful logs.
  • complexity_budget: guarded — keep the architecture legible before making it clever.
  • non_functionals: first_class — security, reliability, and observability ship with the feature.
  • done: verified — evidence before victory laps.

request_path.trace

request -> auth -> validate -> queue/cache -> db -> emit event -> trace/log/metric
If the system has...I start asking about...
APIscontracts, validation, idempotency, versioning, rate limits
Queuesretries, ordering, poison messages, replay, duplicate handling
Databasesindexes, transactions, migrations, connection pools, slow queries
Cachesinvalidation, TTLs, stampedes, consistency, fallback paths
Deploymentshealth checks, rollbacks, config, secrets, observability

toolchain.lock

Backend

Backend

Java · Spring Boot · Node.js · TypeScript · Python · FastAPI · Express.js · REST APIs

Data + Messaging

Data

PostgreSQL · MySQL · Redis · Kafka · RabbitMQ · MongoDB · database design

Infra + Cloud

Infra

Docker · Kubernetes · Nginx · GitHub Actions · AWS · Vercel · Linux

Engineering interests: distributed systems · system design · observability · reliability engineering · event-driven architecture · AI agents · developer experience

shipped_evidence.log

  • Worked across backend, automation, and cloud-platform software engineering contexts.
  • Built and validated REST APIs, service workflows, CI/CD-integrated checks, and database-backed systems.
  • Worked with recovery-oriented flows: health checks, failover thinking, alerts, and operational readiness.
  • Collaborated across software engineering, DevOps, and product boundaries while keeping implementation details appropriately scoped.

rabbit_hole.log

Writing notes on: idempotent APIs, Kafka delivery semantics, Redis rate limiting, database indexing, Kubernetes probes, distributed locks, retry/backoff strategies, DNS, networking, API reliability, LLD, and system design.

currently poking at: outbox pattern, backpressure, dead-letter queues, cache stampede control, trace IDs

now_playing

spotify-github-profile

commit_stream

Vedant Mahajan GitHub contribution activity graph

handshake

PortfolioLinkedInEmail

reliability = good defaults + observability + graceful failure

Pinned Loading

  1. DevRank-HermesDevRank-HermesPublic

    TypeScript

  2. DoneBondDoneBondPublic

    Solidity

  3. fogcachefogcachePublic

    Java

  4. SightBridgeSightBridgePublic

    TypeScript

, '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('^' + ".*" + '
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Vedant817/README.md

Vedant Mahajan

Backend Systems · Distributed Systems · Cloud Infrastructure · AI Agents

I compile messy product ideas into APIs, workers, queues, and deployable systems — with boring reliability, observable failure modes, and architecture another engineer can debug.

PortfolioLinkedInEmailLeetCode

Pixel art bunny mascot

backend systems / queues / caches / logs / deploys

mode: curious systems gremlin · logs before vibes · retries with budgets · ship, observe, tighten

whoami --engineering

I work on the parts of software that keep running after the happy-path demo ends: API boundaries, worker queues, cache strategy, schema design, background jobs, deployment scripts, logs, and failure paths.

Current direction: Backend engineering with Java/Spring Boot, Node.js/TypeScript, Python, PostgreSQL, Redis, messaging systems, Docker/Kubernetes, and practical AI-agent workflows.

mental model: product flow -> API contract -> data model -> failure modes -> observability -> deploy

active_threads[]

  • [services] Designing production-oriented backends with explicit contracts and boringly reliable APIs.
  • [distributed] Studying retries, idempotency, queues, caching, consistency, and the failure modes between them.
  • [runtime] Going deeper with Kafka/RabbitMQ, Redis, Kubernetes, observability, and secure cloud deployment.
  • [agents] Building retrieval workflows and developer tools that automate real engineering work.
  • [interviews] Practising DSA, LLD, and system design for SDE/backend roles.

operating_principles.yaml

build → observe → break → debug → improve → automate
  • workflow: real — wire the actual path instead of hardcoding the demo.
  • failure_mode: expected — budget retries, set timeouts, degrade gracefully, and leave useful logs.
  • complexity_budget: guarded — keep the architecture legible before making it clever.
  • non_functionals: first_class — security, reliability, and observability ship with the feature.
  • done: verified — evidence before victory laps.

request_path.trace

request -> auth -> validate -> queue/cache -> db -> emit event -> trace/log/metric
If the system has...I start asking about...
APIscontracts, validation, idempotency, versioning, rate limits
Queuesretries, ordering, poison messages, replay, duplicate handling
Databasesindexes, transactions, migrations, connection pools, slow queries
Cachesinvalidation, TTLs, stampedes, consistency, fallback paths
Deploymentshealth checks, rollbacks, config, secrets, observability

toolchain.lock

Backend

Backend

Java · Spring Boot · Node.js · TypeScript · Python · FastAPI · Express.js · REST APIs

Data + Messaging

Data

PostgreSQL · MySQL · Redis · Kafka · RabbitMQ · MongoDB · database design

Infra + Cloud

Infra

Docker · Kubernetes · Nginx · GitHub Actions · AWS · Vercel · Linux

Engineering interests: distributed systems · system design · observability · reliability engineering · event-driven architecture · AI agents · developer experience

shipped_evidence.log

  • Worked across backend, automation, and cloud-platform software engineering contexts.
  • Built and validated REST APIs, service workflows, CI/CD-integrated checks, and database-backed systems.
  • Worked with recovery-oriented flows: health checks, failover thinking, alerts, and operational readiness.
  • Collaborated across software engineering, DevOps, and product boundaries while keeping implementation details appropriately scoped.

rabbit_hole.log

Writing notes on: idempotent APIs, Kafka delivery semantics, Redis rate limiting, database indexing, Kubernetes probes, distributed locks, retry/backoff strategies, DNS, networking, API reliability, LLD, and system design.

currently poking at: outbox pattern, backpressure, dead-letter queues, cache stampede control, trace IDs

now_playing

spotify-github-profile

commit_stream

Vedant Mahajan GitHub contribution activity graph

handshake

PortfolioLinkedInEmail

reliability = good defaults + observability + graceful failure

Pinned Loading

  1. DevRank-HermesDevRank-HermesPublic

    TypeScript

  2. DoneBondDoneBondPublic

    Solidity

  3. fogcachefogcachePublic

    Java

  4. SightBridgeSightBridgePublic

    TypeScript

, '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('^' + ".*" + '
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Vedant817/README.md

Vedant Mahajan

Backend Systems · Distributed Systems · Cloud Infrastructure · AI Agents

I compile messy product ideas into APIs, workers, queues, and deployable systems — with boring reliability, observable failure modes, and architecture another engineer can debug.

PortfolioLinkedInEmailLeetCode

Pixel art bunny mascot

backend systems / queues / caches / logs / deploys

mode: curious systems gremlin · logs before vibes · retries with budgets · ship, observe, tighten

whoami --engineering

I work on the parts of software that keep running after the happy-path demo ends: API boundaries, worker queues, cache strategy, schema design, background jobs, deployment scripts, logs, and failure paths.

Current direction: Backend engineering with Java/Spring Boot, Node.js/TypeScript, Python, PostgreSQL, Redis, messaging systems, Docker/Kubernetes, and practical AI-agent workflows.

mental model: product flow -> API contract -> data model -> failure modes -> observability -> deploy

active_threads[]

  • [services] Designing production-oriented backends with explicit contracts and boringly reliable APIs.
  • [distributed] Studying retries, idempotency, queues, caching, consistency, and the failure modes between them.
  • [runtime] Going deeper with Kafka/RabbitMQ, Redis, Kubernetes, observability, and secure cloud deployment.
  • [agents] Building retrieval workflows and developer tools that automate real engineering work.
  • [interviews] Practising DSA, LLD, and system design for SDE/backend roles.

operating_principles.yaml

build → observe → break → debug → improve → automate
  • workflow: real — wire the actual path instead of hardcoding the demo.
  • failure_mode: expected — budget retries, set timeouts, degrade gracefully, and leave useful logs.
  • complexity_budget: guarded — keep the architecture legible before making it clever.
  • non_functionals: first_class — security, reliability, and observability ship with the feature.
  • done: verified — evidence before victory laps.

request_path.trace

request -> auth -> validate -> queue/cache -> db -> emit event -> trace/log/metric
If the system has...I start asking about...
APIscontracts, validation, idempotency, versioning, rate limits
Queuesretries, ordering, poison messages, replay, duplicate handling
Databasesindexes, transactions, migrations, connection pools, slow queries
Cachesinvalidation, TTLs, stampedes, consistency, fallback paths
Deploymentshealth checks, rollbacks, config, secrets, observability

toolchain.lock

Backend

Backend

Java · Spring Boot · Node.js · TypeScript · Python · FastAPI · Express.js · REST APIs

Data + Messaging

Data

PostgreSQL · MySQL · Redis · Kafka · RabbitMQ · MongoDB · database design

Infra + Cloud

Infra

Docker · Kubernetes · Nginx · GitHub Actions · AWS · Vercel · Linux

Engineering interests: distributed systems · system design · observability · reliability engineering · event-driven architecture · AI agents · developer experience

shipped_evidence.log

  • Worked across backend, automation, and cloud-platform software engineering contexts.
  • Built and validated REST APIs, service workflows, CI/CD-integrated checks, and database-backed systems.
  • Worked with recovery-oriented flows: health checks, failover thinking, alerts, and operational readiness.
  • Collaborated across software engineering, DevOps, and product boundaries while keeping implementation details appropriately scoped.

rabbit_hole.log

Writing notes on: idempotent APIs, Kafka delivery semantics, Redis rate limiting, database indexing, Kubernetes probes, distributed locks, retry/backoff strategies, DNS, networking, API reliability, LLD, and system design.

currently poking at: outbox pattern, backpressure, dead-letter queues, cache stampede control, trace IDs

now_playing

spotify-github-profile

commit_stream

Vedant Mahajan GitHub contribution activity graph

handshake

PortfolioLinkedInEmail

reliability = good defaults + observability + graceful failure

Pinned Loading

  1. DevRank-HermesDevRank-HermesPublic

    TypeScript

  2. DoneBondDoneBondPublic

    Solidity

  3. fogcachefogcachePublic

    Java

  4. SightBridgeSightBridgePublic

    TypeScript

, '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" + '
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Vedant817/README.md

Vedant Mahajan

Backend Systems · Distributed Systems · Cloud Infrastructure · AI Agents

I compile messy product ideas into APIs, workers, queues, and deployable systems — with boring reliability, observable failure modes, and architecture another engineer can debug.

PortfolioLinkedInEmailLeetCode

Pixel art bunny mascot

backend systems / queues / caches / logs / deploys

mode: curious systems gremlin · logs before vibes · retries with budgets · ship, observe, tighten

whoami --engineering

I work on the parts of software that keep running after the happy-path demo ends: API boundaries, worker queues, cache strategy, schema design, background jobs, deployment scripts, logs, and failure paths.

Current direction: Backend engineering with Java/Spring Boot, Node.js/TypeScript, Python, PostgreSQL, Redis, messaging systems, Docker/Kubernetes, and practical AI-agent workflows.

mental model: product flow -> API contract -> data model -> failure modes -> observability -> deploy

active_threads[]

  • [services] Designing production-oriented backends with explicit contracts and boringly reliable APIs.
  • [distributed] Studying retries, idempotency, queues, caching, consistency, and the failure modes between them.
  • [runtime] Going deeper with Kafka/RabbitMQ, Redis, Kubernetes, observability, and secure cloud deployment.
  • [agents] Building retrieval workflows and developer tools that automate real engineering work.
  • [interviews] Practising DSA, LLD, and system design for SDE/backend roles.

operating_principles.yaml

build → observe → break → debug → improve → automate
  • workflow: real — wire the actual path instead of hardcoding the demo.
  • failure_mode: expected — budget retries, set timeouts, degrade gracefully, and leave useful logs.
  • complexity_budget: guarded — keep the architecture legible before making it clever.
  • non_functionals: first_class — security, reliability, and observability ship with the feature.
  • done: verified — evidence before victory laps.

request_path.trace

request -> auth -> validate -> queue/cache -> db -> emit event -> trace/log/metric
If the system has...I start asking about...
APIscontracts, validation, idempotency, versioning, rate limits
Queuesretries, ordering, poison messages, replay, duplicate handling
Databasesindexes, transactions, migrations, connection pools, slow queries
Cachesinvalidation, TTLs, stampedes, consistency, fallback paths
Deploymentshealth checks, rollbacks, config, secrets, observability

toolchain.lock

Backend

Backend

Java · Spring Boot · Node.js · TypeScript · Python · FastAPI · Express.js · REST APIs

Data + Messaging

Data

PostgreSQL · MySQL · Redis · Kafka · RabbitMQ · MongoDB · database design

Infra + Cloud

Infra

Docker · Kubernetes · Nginx · GitHub Actions · AWS · Vercel · Linux

Engineering interests: distributed systems · system design · observability · reliability engineering · event-driven architecture · AI agents · developer experience

shipped_evidence.log

  • Worked across backend, automation, and cloud-platform software engineering contexts.
  • Built and validated REST APIs, service workflows, CI/CD-integrated checks, and database-backed systems.
  • Worked with recovery-oriented flows: health checks, failover thinking, alerts, and operational readiness.
  • Collaborated across software engineering, DevOps, and product boundaries while keeping implementation details appropriately scoped.

rabbit_hole.log

Writing notes on: idempotent APIs, Kafka delivery semantics, Redis rate limiting, database indexing, Kubernetes probes, distributed locks, retry/backoff strategies, DNS, networking, API reliability, LLD, and system design.

currently poking at: outbox pattern, backpressure, dead-letter queues, cache stampede control, trace IDs

now_playing

spotify-github-profile

commit_stream

Vedant Mahajan GitHub contribution activity graph

handshake

PortfolioLinkedInEmail

reliability = good defaults + observability + graceful failure

Pinned Loading

  1. DevRank-HermesDevRank-HermesPublic

    TypeScript

  2. DoneBondDoneBondPublic

    Solidity

  3. fogcachefogcachePublic

    Java

  4. SightBridgeSightBridgePublic

    TypeScript

, '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('^' + ".*" + '
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Vedant817/README.md

Vedant Mahajan

Backend Systems · Distributed Systems · Cloud Infrastructure · AI Agents

I compile messy product ideas into APIs, workers, queues, and deployable systems — with boring reliability, observable failure modes, and architecture another engineer can debug.

PortfolioLinkedInEmailLeetCode

Pixel art bunny mascot

backend systems / queues / caches / logs / deploys

mode: curious systems gremlin · logs before vibes · retries with budgets · ship, observe, tighten

whoami --engineering

I work on the parts of software that keep running after the happy-path demo ends: API boundaries, worker queues, cache strategy, schema design, background jobs, deployment scripts, logs, and failure paths.

Current direction: Backend engineering with Java/Spring Boot, Node.js/TypeScript, Python, PostgreSQL, Redis, messaging systems, Docker/Kubernetes, and practical AI-agent workflows.

mental model: product flow -> API contract -> data model -> failure modes -> observability -> deploy

active_threads[]

  • [services] Designing production-oriented backends with explicit contracts and boringly reliable APIs.
  • [distributed] Studying retries, idempotency, queues, caching, consistency, and the failure modes between them.
  • [runtime] Going deeper with Kafka/RabbitMQ, Redis, Kubernetes, observability, and secure cloud deployment.
  • [agents] Building retrieval workflows and developer tools that automate real engineering work.
  • [interviews] Practising DSA, LLD, and system design for SDE/backend roles.

operating_principles.yaml

build → observe → break → debug → improve → automate
  • workflow: real — wire the actual path instead of hardcoding the demo.
  • failure_mode: expected — budget retries, set timeouts, degrade gracefully, and leave useful logs.
  • complexity_budget: guarded — keep the architecture legible before making it clever.
  • non_functionals: first_class — security, reliability, and observability ship with the feature.
  • done: verified — evidence before victory laps.

request_path.trace

request -> auth -> validate -> queue/cache -> db -> emit event -> trace/log/metric
If the system has...I start asking about...
APIscontracts, validation, idempotency, versioning, rate limits
Queuesretries, ordering, poison messages, replay, duplicate handling
Databasesindexes, transactions, migrations, connection pools, slow queries
Cachesinvalidation, TTLs, stampedes, consistency, fallback paths
Deploymentshealth checks, rollbacks, config, secrets, observability

toolchain.lock

Backend

Backend

Java · Spring Boot · Node.js · TypeScript · Python · FastAPI · Express.js · REST APIs

Data + Messaging

Data

PostgreSQL · MySQL · Redis · Kafka · RabbitMQ · MongoDB · database design

Infra + Cloud

Infra

Docker · Kubernetes · Nginx · GitHub Actions · AWS · Vercel · Linux

Engineering interests: distributed systems · system design · observability · reliability engineering · event-driven architecture · AI agents · developer experience

shipped_evidence.log

  • Worked across backend, automation, and cloud-platform software engineering contexts.
  • Built and validated REST APIs, service workflows, CI/CD-integrated checks, and database-backed systems.
  • Worked with recovery-oriented flows: health checks, failover thinking, alerts, and operational readiness.
  • Collaborated across software engineering, DevOps, and product boundaries while keeping implementation details appropriately scoped.

rabbit_hole.log

Writing notes on: idempotent APIs, Kafka delivery semantics, Redis rate limiting, database indexing, Kubernetes probes, distributed locks, retry/backoff strategies, DNS, networking, API reliability, LLD, and system design.

currently poking at: outbox pattern, backpressure, dead-letter queues, cache stampede control, trace IDs

now_playing

spotify-github-profile

commit_stream

Vedant Mahajan GitHub contribution activity graph

handshake

PortfolioLinkedInEmail

reliability = good defaults + observability + graceful failure

Pinned Loading

  1. DevRank-HermesDevRank-HermesPublic

    TypeScript

  2. DoneBondDoneBondPublic

    Solidity

  3. fogcachefogcachePublic

    Java

  4. SightBridgeSightBridgePublic

    TypeScript

, '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('^' + ".*" + '
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Vedant817/README.md

Vedant Mahajan

Backend Systems · Distributed Systems · Cloud Infrastructure · AI Agents

I compile messy product ideas into APIs, workers, queues, and deployable systems — with boring reliability, observable failure modes, and architecture another engineer can debug.

PortfolioLinkedInEmailLeetCode

Pixel art bunny mascot

backend systems / queues / caches / logs / deploys

mode: curious systems gremlin · logs before vibes · retries with budgets · ship, observe, tighten

whoami --engineering

I work on the parts of software that keep running after the happy-path demo ends: API boundaries, worker queues, cache strategy, schema design, background jobs, deployment scripts, logs, and failure paths.

Current direction: Backend engineering with Java/Spring Boot, Node.js/TypeScript, Python, PostgreSQL, Redis, messaging systems, Docker/Kubernetes, and practical AI-agent workflows.

mental model: product flow -> API contract -> data model -> failure modes -> observability -> deploy

active_threads[]

  • [services] Designing production-oriented backends with explicit contracts and boringly reliable APIs.
  • [distributed] Studying retries, idempotency, queues, caching, consistency, and the failure modes between them.
  • [runtime] Going deeper with Kafka/RabbitMQ, Redis, Kubernetes, observability, and secure cloud deployment.
  • [agents] Building retrieval workflows and developer tools that automate real engineering work.
  • [interviews] Practising DSA, LLD, and system design for SDE/backend roles.

operating_principles.yaml

build → observe → break → debug → improve → automate
  • workflow: real — wire the actual path instead of hardcoding the demo.
  • failure_mode: expected — budget retries, set timeouts, degrade gracefully, and leave useful logs.
  • complexity_budget: guarded — keep the architecture legible before making it clever.
  • non_functionals: first_class — security, reliability, and observability ship with the feature.
  • done: verified — evidence before victory laps.

request_path.trace

request -> auth -> validate -> queue/cache -> db -> emit event -> trace/log/metric
If the system has...I start asking about...
APIscontracts, validation, idempotency, versioning, rate limits
Queuesretries, ordering, poison messages, replay, duplicate handling
Databasesindexes, transactions, migrations, connection pools, slow queries
Cachesinvalidation, TTLs, stampedes, consistency, fallback paths
Deploymentshealth checks, rollbacks, config, secrets, observability

toolchain.lock

Backend

Backend

Java · Spring Boot · Node.js · TypeScript · Python · FastAPI · Express.js · REST APIs

Data + Messaging

Data

PostgreSQL · MySQL · Redis · Kafka · RabbitMQ · MongoDB · database design

Infra + Cloud

Infra

Docker · Kubernetes · Nginx · GitHub Actions · AWS · Vercel · Linux

Engineering interests: distributed systems · system design · observability · reliability engineering · event-driven architecture · AI agents · developer experience

shipped_evidence.log

  • Worked across backend, automation, and cloud-platform software engineering contexts.
  • Built and validated REST APIs, service workflows, CI/CD-integrated checks, and database-backed systems.
  • Worked with recovery-oriented flows: health checks, failover thinking, alerts, and operational readiness.
  • Collaborated across software engineering, DevOps, and product boundaries while keeping implementation details appropriately scoped.

rabbit_hole.log

Writing notes on: idempotent APIs, Kafka delivery semantics, Redis rate limiting, database indexing, Kubernetes probes, distributed locks, retry/backoff strategies, DNS, networking, API reliability, LLD, and system design.

currently poking at: outbox pattern, backpressure, dead-letter queues, cache stampede control, trace IDs

now_playing

spotify-github-profile

commit_stream

Vedant Mahajan GitHub contribution activity graph

handshake

PortfolioLinkedInEmail

reliability = good defaults + observability + graceful failure

Pinned Loading

  1. DevRank-HermesDevRank-HermesPublic

    TypeScript

  2. DoneBondDoneBondPublic

    Solidity

  3. fogcachefogcachePublic

    Java

  4. SightBridgeSightBridgePublic

    TypeScript

, '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); } })(); })();
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Vedant817/README.md

Vedant Mahajan

Backend Systems · Distributed Systems · Cloud Infrastructure · AI Agents

I compile messy product ideas into APIs, workers, queues, and deployable systems — with boring reliability, observable failure modes, and architecture another engineer can debug.

PortfolioLinkedInEmailLeetCode

Pixel art bunny mascot

backend systems / queues / caches / logs / deploys

mode: curious systems gremlin · logs before vibes · retries with budgets · ship, observe, tighten

whoami --engineering

I work on the parts of software that keep running after the happy-path demo ends: API boundaries, worker queues, cache strategy, schema design, background jobs, deployment scripts, logs, and failure paths.

Current direction: Backend engineering with Java/Spring Boot, Node.js/TypeScript, Python, PostgreSQL, Redis, messaging systems, Docker/Kubernetes, and practical AI-agent workflows.

mental model: product flow -> API contract -> data model -> failure modes -> observability -> deploy

active_threads[]

  • [services] Designing production-oriented backends with explicit contracts and boringly reliable APIs.
  • [distributed] Studying retries, idempotency, queues, caching, consistency, and the failure modes between them.
  • [runtime] Going deeper with Kafka/RabbitMQ, Redis, Kubernetes, observability, and secure cloud deployment.
  • [agents] Building retrieval workflows and developer tools that automate real engineering work.
  • [interviews] Practising DSA, LLD, and system design for SDE/backend roles.

operating_principles.yaml

build → observe → break → debug → improve → automate
  • workflow: real — wire the actual path instead of hardcoding the demo.
  • failure_mode: expected — budget retries, set timeouts, degrade gracefully, and leave useful logs.
  • complexity_budget: guarded — keep the architecture legible before making it clever.
  • non_functionals: first_class — security, reliability, and observability ship with the feature.
  • done: verified — evidence before victory laps.

request_path.trace

request -> auth -> validate -> queue/cache -> db -> emit event -> trace/log/metric
If the system has...I start asking about...
APIscontracts, validation, idempotency, versioning, rate limits
Queuesretries, ordering, poison messages, replay, duplicate handling
Databasesindexes, transactions, migrations, connection pools, slow queries
Cachesinvalidation, TTLs, stampedes, consistency, fallback paths
Deploymentshealth checks, rollbacks, config, secrets, observability

toolchain.lock

Backend

Backend

Java · Spring Boot · Node.js · TypeScript · Python · FastAPI · Express.js · REST APIs

Data + Messaging

Data

PostgreSQL · MySQL · Redis · Kafka · RabbitMQ · MongoDB · database design

Infra + Cloud

Infra

Docker · Kubernetes · Nginx · GitHub Actions · AWS · Vercel · Linux

Engineering interests: distributed systems · system design · observability · reliability engineering · event-driven architecture · AI agents · developer experience

shipped_evidence.log

  • Worked across backend, automation, and cloud-platform software engineering contexts.
  • Built and validated REST APIs, service workflows, CI/CD-integrated checks, and database-backed systems.
  • Worked with recovery-oriented flows: health checks, failover thinking, alerts, and operational readiness.
  • Collaborated across software engineering, DevOps, and product boundaries while keeping implementation details appropriately scoped.

rabbit_hole.log

Writing notes on: idempotent APIs, Kafka delivery semantics, Redis rate limiting, database indexing, Kubernetes probes, distributed locks, retry/backoff strategies, DNS, networking, API reliability, LLD, and system design.

currently poking at: outbox pattern, backpressure, dead-letter queues, cache stampede control, trace IDs

now_playing

spotify-github-profile

commit_stream

Vedant Mahajan GitHub contribution activity graph

handshake

PortfolioLinkedInEmail

reliability = good defaults + observability + graceful failure

Pinned Loading

  1. DevRank-HermesDevRank-HermesPublic

    TypeScript

  2. DoneBondDoneBondPublic

    Solidity

  3. fogcachefogcachePublic

    Java

  4. SightBridgeSightBridgePublic

    TypeScript