Nitin C.

Senior Python & AI engineer (Top Rated Plus, 100% Job Success) for teams that need AI features, agents and backends that keep working in production. I take over half-built or fragile systems, find what will break, and ship in small, verifiable weekly milestones. What I build - AI agents & RAG systems: tool-using agents, retrieval pipelines, vector DBs, evaluation and monitoring (Claude, OpenAI, Gemini, LangChain, LangGraph) - AI SaaS backends: FastAPI/Django services with auth, Stripe billing, usage limits and admin dashboards - Real-time AI/voice systems: STT → translation → TTS pipelines (Deepgram, OpenAI, ElevenLabs) with WebSockets, streaming and latency control - Data & backend engineering: high-throughput APIs, bulk data pipelines, scrapers, database and query optimization Selected work shipped - Skreen: AI candidate-screening platform that runs multiple interviews in parallel through an LLM evaluation and decision pipeline - GeoX AI: backend modules and bulk-data APIs for a property-risk platform covering about 160M US properties, used by Aon and Munich Re - AI ordering assistant (text + voice, English + Greek) with a FastAPI backend and React frontend, deployed via Docker, live with real users and payments - UnBotify AI: humanized-text SaaS with Stripe subscriptions, usage metering and a ChatGPT-style UI, fully deployed on client infrastructure - Sports analytics platform with real-time data feeds and a subscription/admin system for paying customers How I work - Start from failure modes: latency, concurrency, integrations and data quality, not "it works on my machine" demos - Clean, testable backends (FastAPI/Django), strong API contracts, simple maintainable frontends (React/Next.js) - Logging, monitoring and retries from day one, so you can see and fix issues instead of guessing - Every week ends with something you can run, break and validate Core tech AI: Claude / OpenAI / Gemini, Claude Code, LangChain, LangGraph, RAG, vector DBs (Pinecone, ChromaDB, FAISS) Backend: Python, FastAPI, Django, REST APIs, WebSockets, async processing Frontend: React, Next.js, TypeScript, Tailwind Infra: PostgreSQL, Supabase, AWS (EC2, Lambda, S3, RDS), Docker, GitHub Actions, Vercel/Render/Railway Availability Available now for hourly engagements, 30+ hours a week, working IST with overlap for US mornings and Europe. If you need a system that survives real users, send your repo, current architecture and target use case. I'll tell you exactly what's fragile and what I'd fix in the first 2–3 weeks.