Summary
High-impact Full Stack Engineer with deep expertise in AI infrastructure, RAG systems, and secure authentication. Proven track record of executing zero-downtime migrations and shipping complex production features for live clients in agency environments. Specialist in bridging traditional backend engineering (PostgreSQL, Redis) with cutting-edge AI tooling (MCP, Vercel AI SDK). Currently acting as a solo lead on high-stakes billing and analytics systems.
Core Skills
- AI & RAG: Vercel AI SDK, MCP, Vector DBs, RAG Optimization, LangChain, Puppeteer (Automation).
- Frontend: React, Next.js 14+, TypeScript, Tailwind CSS, Recharts, Shadcn UI.
- Backend: Node.js, tRPC, PostgreSQL (Neon), Redis, Better Auth, NextAuth, Zod.
- DevOps & Tools: Docker, Kubernetes, CI/CD (GitHub Actions), AWS, E2B, Bot Scaling.
Professional Experience
- AI Infrastructure & RAG Optimization: Engineered a multi-agent system with Dynamic Chain of Thought and Web Search tools using MCP. Improved RAG citation accuracy by 90% and data retrieval by 70% via complex vector DB logic and post-hoc processing.
- Solo Lead (Billing & AI): Built complex billing infrastructure and shipped a full AI chat system with dynamic interactive charts (Vercel AI SDK, Recharts) in <2.5 weeks. Debugged critical production "ghost migrations" with 100% reliability.
- Critical Zero-Downtime Migration: Executed a high-stakes migration from NextAuth to Better Auth for a live production app, resulting in 0% downtime and zero data loss.
- Advanced Security & Infrastructure: Refactored tRPC infra for security (zip-bomb protection, E2B sandboxing). Implemented 100% secure Redis-backed pagination for MCP, boosting client agent accuracy by 90%.
- High-Velocity Engineering: Contributed to 3 production projects from Day 1 (zero onboarding). Parsed complex Austrian legal APIs (big data seeding, complex joins) and reduced launch times by optimizing DB load and caching.
Products launched
- Architected and launched a multi-tenant SaaS platform serving 50+ active users, featuring custom domain support (Vercel-style routing) and dynamic subdomains via Next.js Middleware.
- Integrated an AI Assistant to automate user support and enhance portfolio creation workflows.
- Implemented robust CI/CD pipelines using GitHub Actions for dev and prod branches, automating linting, testing, and builds to prevent regressions.
- Enforced end-to-end type safety using Zod across all API endpoints and database schemas.
- Architected the world's first serverless RAG agent with microservice design—Next.js API + Modal Python workers, Redis task queues—achieving 40% lower cost than major parsers while preserving tables, structure, and formatting.
- Multi-format ingestion (PDFs, web URLs) with 3 enterprise encryption levels (None, Simple, Advanced), parent-child chunking, real-time status, and context-aware chat with citations.
- Florence-2 for image understanding and search; custom models on Modal: Marker PDF, BGE-M3, MXBAI Reranker, Qwen 2.5 14B—all serverless with auto-scaling.
- Stack: Next.js 16, tRPC, Prisma, Redis, Supabase, Exa, Modal.
Open Source Contributions
- Merged 8+ PRs in a single month, working alongside core senior developers on high-priority tickets and received direct mentorship.
- Contributed a significant portion to the new calendar-based Kanban feature, implementing complex frontend logic and interactions.
- Integrated Vitest for type-safe unit testing and resolved critical UI formatting bugs affecting thousands of users.
Freelance Experience
- Delivered a secure, containerized (Docker) web application using Next.js and MongoDB.
- Built a reusable UI component library and containerized the app to reduce deployment friction and ensure environment consistency.
Education
Bachelor of Science in Data Science, Indian Institute of Technology, Madras
Exp. May 2029
Certifications
Docker Certification – Docker, Inc.
2025
GitHub Actions Workshop: CI/CD Pipelines – Microsoft Press
2025