Frontend Engineer · AI-native builder
I build production-grade, real-time and AI-native web products.
2+ years shipping apps in Next.js (App Router), React, and TypeScript — building everything from a 300+ shipment/day logistics platform to AI-native products like CareerLens (RAG) and Ghost AI (real-time AI collaboration), end-to-end with a Spec-Driven, AI-assisted workflow.
A bit about who I am and how I work.
I'm a Frontend Engineer with strong full-stack capabilities and 2+ years building and shipping production-grade web applications in Next.js (App Router), React, and TypeScript. I love turning complex requirements into clean, reusable component architectures and fast, reliable user experiences.
Most recently I designed, built, and deployed Ghost AI — an AI-native, real-time collaborative system-design platform — solo and end-to-end: a multiplayer canvas (CRDT-backed Liveblocks + React Flow) paired with durable AI agents that turn natural-language prompts into live architecture diagrams and a persisted technical spec.

Where I've shipped real software for real users.
Remote — Long Beach, CA
Bhopal, MP
Selected work — from a solo AI platform to production apps used in the field.
CareerLens is a full-stack RAG (Retrieval-Augmented Generation) application I built from scratch to solve a real problem in my own job search — analyzing how well a resume matches a job description. I built the entire RAG pipeline without framework abstractions: paragraph-based chunking, vector embeddings via Google Gemini, and pgvector cosine-similarity search to retrieve the most relevant resume sections for any job description. The FastAPI backend uses proper service-layer architecture with Pydantic validation, SQLAlchemy ORM, and pytest coverage, with defensive error handling around LLM output parsing. The Next.js 16 frontend uses Server Actions and React 19, including a custom animated SVG score visualization. I deployed the full stack to production — Render, Vercel, and Supabase — and solved real infrastructure issues along the way, including IPv4/IPv6 connection pooling between Render and Supabase.
Ghost AI is a full-stack AI-native collaboration platform I built as a deep-learning project following the JS Mastery curriculum. The course gave me the structure; my goal was to actually understand every system underneath. That meant digging into CRDT-based real-time sync with Liveblocks and React Flow — how conflict-free distributed state works, how live cursors and presence are propagated, and why the multiplayer canvas behaves correctly under concurrent edits. On the AI side, I built agentic workflows using OpenRouter with structured outputs and tool calling, converting natural-language prompts into live diagrams, and added a schema-validated action DSL with server-side sanitization to keep graph state consistent regardless of model output. I also learned how Trigger.dev handles durable background execution — retries, idempotency keys, and why you need them. The full stack spans Next.js 16, React 19, TypeScript, Prisma, PostgreSQL, Vercel Blob, and Clerk auth. I can walk through the design decisions behind each layer and explain the tradeoffs involved.
The dispatch module covered shipment assignment, driver scheduling, and status tracking across a live multi-team logistics platform. Dynamic Zod-validated forms, a scalable Prisma + Supabase data flow with production-grade handling of concurrency and data integrity, role-based access, and reusable form/table primitives.
Responsive, accessible UI for the public platform of the Indian Venture and Alternate Capital Association — an industry body serving 250+ PE, VC, and alternative-investment funds. Members, events, and research sections with optimized data-fetching (React Query) and Formik-driven forms, plus integration tests.
The stack I reach for to design, build, and ship — front to back.
Education, recognition, and the habits that keep me sharp.
Maulana Abul Kalam Azad University of Technology (MAKAUT)
WBSCTVESD
Built and deployed a full-stack RAG application from scratch — first project combining Python/FastAPI backend with AI-native frontend, going from zero FastAPI experience to live production deployment.
View liveBuilt and deployed an AI-native, real-time collaboration platform end-to-end — deepening expertise in distributed systems and AI engineering.
View liveAuthored blogs on React performance optimization and TypeScript patterns, sharing practical insights with the developer community.
Read on MediumRegular Data Structures & Algorithms practice on LeetCode and GeeksforGeeks to sharpen problem-solving and analytical skills.
I'm open to frontend and full-stack roles, and to interesting collaborations. My inbox is always open — whether you have a question or just want to say hi, I'll get back to you.