I build fast, functional web products end-to-end, from AI integrated backends to clean, usable interfaces. Currently shipping real world apps and open to full time / internship opportunities.
Turning ideas into working products.
A production grade, enterprise level RAG system built with LangGraph, Portkey LLM Gateway, and Gemini Embeddings. The system distinguishes between technical "True Data" and random "Noisy Data" using semantic re-ranking, history-aware planning, and NeMo Guardrails for input/output safety.
Real time sports analytics platform with sub-second latency via WebSockets. Integrated Groq Llama 3.1 for AI commentary. Optimized DB query latency from 800ms to 150ms.
SaaS spend auditing engine with Next.js App Router. AI-driven recommendations across 10+ pricing models. Automated email reports using Groq and Nodemailer.
Proficiency in query optimization, database design, and complex joins.
Completed comprehensive full stack development program covering 50+ projects.
Deployed 5 full stack production applications with 25+ open-source repositories and 100+ commits.
Understand the problem, users, and constraints before writing code.
Break the build into schema, API contracts, and component structure.
Ship backend and frontend in parallel, keep commits small and testable.
Check edge cases, error states, and real data before calling it done.
Ship to production, monitor, iterate based on real usage.
Good code is not just how it runs, but how it scales.