Hi, I'm Srujan 👋

AI Engineer building agentic developer tools.
Full-stack engineer @ Shipsy · Gurgaon, India

About

I ship production systems for 100+ enterprise clients at Shipsy, where I work across the stack on TypeScript, NestJS, React, and MongoDB. Lately I've been going deep on LLM tooling and coding agents — the kind of infrastructure that makes other engineers faster.

I'm most at home where backend reliability meets AI ergonomics: webhook architectures, MCP servers, retrieval over codebases, and agent loops that actually hold up under real workloads.

Currently: open to AI Engineer roles at startups working on developer tools and coding agents.

🛠️ What I'm building

Project	What it does	Stack
archaeologist-mcp	Time-aware code context (git blame + history) for AI coding agents — surfaces why code looks the way it does, not just what's there.	Python, MCP
career-ops	AI-powered job-search system built on Claude Code with skill modes and batch processing.	JavaScript, Claude API
bolna-recruit-screen	Voice-agent recruitment screening with a realtime dashboard.	Next.js 15, Supabase
CardWise	Recommendation engine scoring spending profiles against 100+ credit cards — top-5 results in <2s, Lighthouse 95+.	React, TS, Node
Flee Outpass Portal	Biometric campus-access system live at IIIT Kottayam, serving 2,000+ students.	TS, React, Node, MongoDB

📈 Recent impact at Shipsy

🤖 Shipped an LLM-driven auto-config bot that compressed release cycles from weeks → days
⚡ Built automation reducing manual ops by 90% across 100+ enterprise accounts
🔁 Re-architected webhook infrastructure → 60% fewer integration failures, 99.9% sync reliability
🔐 Delivered enterprise security features (RBAC / SSO / 2FA) with zero post-launch incidents

🧰 Tech I reach for

Daily — TypeScript · NestJS · React · MongoDB · Node.js · Redis · Docker
LLM / AI — Claude API · MCP · Llama 2 (prod) · prompt eval pipelines · agent loops
Comfortable in — Next.js · PostgreSQL · AWS · GCP · Python · Jest / Cypress