Chinmaya S.

I build SaaS & AI MVPs end-to-end and can usually get a focused product ready for real users in ~7 days — landing page, frontend, backend, database, AI, and deployment. I use a semi-automated AI development workflow to move fast, while I personally handle architecture, product decisions, security-sensitive flows, reviews, and production readiness. I’m a full-stack AI developer and usually work directly with founders, taking products from an idea or rough specification all the way to a deployed application. RECENT SYSTEMS I’VE BUILT • AskInstead — an AI-led conversational intake platform that replaces rigid forms and unnecessary calls with adaptive voice/text conversations, intelligent follow-up questions, structured summaries, file uploads, and reusable workflows for client discovery, candidate screening, and qualification • Healthcare revenue-cycle platform covering claim validation, denial management, billing-code assistance, 837 EDI generation, clearinghouse integration, PII protection, audit logging, and tenant isolation • AI Chief of Staff combining email, calendars, meeting transcripts, and company documents for daily briefings, meeting prep, risk alerts, and deliverable tracking • Multi-tenant AI recruiting platform that enriches candidate profiles, verifies requirements against evidence, ranks candidates, creates shortlists, and generates client-ready reports • Private RAG and document-intelligence systems processing thousands of financial, legal, insurance, and reinsurance documents • Market-intelligence pipeline processing 1M+ social posts per day across X, Reddit, news, and other sources for trend and sentiment analysis • Voice AI assistants for inbound calls, qualification, support workflows, and structured follow-up WHAT I CAN BUILD • SaaS & AI MVPs from idea to launch • Landing pages + full product dashboards • Frontend, backend, database, auth, payments, and integrations • AI agents, RAG, semantic search, and document intelligence • Voice AI and conversational workflows • Data pipelines and workflow automation • Production hardening for existing AI prototypes • Deployment, monitoring, and infrastructure CORE STACK Python, FastAPI, Golang, React, Next.js, TypeScript, PostgreSQL, Supabase, Redis, Qdrant, Pinecone, pgvector, LangGraph, LangChain, OpenAI, Claude, AWS Bedrock, Docker, AWS, Hetzner, n8n, Vapi, Whisper, ElevenLabs. If you already have a Figma design, existing codebase, or prototype built with Lovable, Bolt, Cursor, etc., I can work from that instead of starting over. I can also stay involved after launch for maintenance, production issues, and ongoing feature development. If you’re building a SaaS or AI product, send me what you want to build and where you are today. I can usually tell pretty quickly what a realistic first version looks like and how fast we can get it live.