Backend Engineer x App Developer
I build the backend systems behind LLM applications: REST APIs, RAG pipelines, vector search, and agent workflows, engineered for reliability, low latency, and clean service boundaries.
Building: RAG pipelines, agentic workflows, background job systems, and cloud-integrated backend services
Sharpening: Data structures & algorithms, low-level design, advanced SQL, and backend system design
Exploring next: Diving Into App development, Multi-agent orchestration, retrieval evaluation, and distributed job queues at scale
Roamify — AI Stay Discovery App Repo Vortex — Multi-Agent AI Platform Repo · Live EliteMind — Local-First AI Conversation Manager Repo Cyvion — Real-Time Messaging Platform Repo · Live AI Travel Itinerary Planner — Make Trip Plans Repo · Live SnapText — Offline OCR Chrome Extension Repo Movie Watchlist API — Watchlist Backend Repo · Live API
| Backend | AI / GenAI | Databases | Infrastructure | Frontend | CMS |
|---|---|---|---|---|---|
| Node.js, Bun, Express, Python, REST APIs, microservices, authentication (JWT, bcrypt, Clerk, Firebase Admin), rate limiting, background jobs, Socket.IO | LangGraph, LangChain, RAG pipelines, vector search, AI agents, tool orchestration, prompt engineering, structured outputs (Zod), Vercel AI SDK, Gemini API, Groq, OpenRouter, Tavily | PostgreSQL, pgvector, Qdrant, MongoDB, Prisma, Redis | Docker, AWS (S3), Render, Vercel, CLI design, sandboxed execution | React, React Native, Expo, TypeScript, Redux Toolkit, Zustand, Tailwind CSS, NativeWind, Vite | Sanity (Content Lake, GROQ, Knowledge Base) |
Open to SDE-1 and Backend Developer roles, internships and full-time.
P.S. If you've read this far, either my SEO worked or you're genuinely curious. Either way — hi, let's talk.