AI Systems Builder · Bangalore, India
I build and ship production AI systems, end-to-end.
Eighteen years as an operator and founder; the last three architecting and shipping production AI SaaS — retrieval, LLM orchestration, search, data, billing, and deployment. I don't stop at prototypes — I ship systems that run under load, and I can explain every decision in them.
Flagship — live in production
Vidhi — production AI research & drafting
A domain-specific AI research & drafting platform — RAG over a very large, citation-heavy corpus. Soft-launched with real users and live subscription billing — architected, built, and operated end to end.
Production RAG platform
Fast, source-cited answers over 750,000+ document chunks — with the full product built around the model, not just an API wrapper.
The platform — five more, one codebase
A shared multi-tenant core behind every product
Five additional production-grade AI SaaS products run on one shared Elixir platform, each a thin shell over hardened infrastructure. They're pre-launch, so the products stay dark — but the engineering doesn't. These are the primitives, described without the market. Full walkthroughs under NDA.
Deterministic classification & scoring engine
Rule-based, with a full auditable decision trail — chosen over an LLM where traceability and defensibility matter more than flexibility.
Multi-stage generative-media pipeline
Brief → storyboard → asset generation → voiceover → render, orchestrated through resilient background workers across several media providers.
Entity & relationship knowledge graph
A graph store layered over Postgres for entity-and-relationship intelligence, kept in sync from the primary system of record.
Resilient ingestion & extraction
Browser-automation ingestion for dynamic, JavaScript-heavy sources, plus multi-format document extraction/OCR and normalization.
Shared multi-tenant core
Unified auth, billing, RAG, chat, search, and content — so each new product ships as a thin shell, not a rebuild. Improvements compound across every app.
Architecture walkthroughs under NDA
Under mutual NDA I walk my own proprietary systems — real screenshots, workflows, architecture. I never use client work as public proof.
Where I can help
Engagements I take on
Fixed-scope pilots or weekly retainers, not open-ended hourly. I lower the risk of a narrow, high-value outcome.
Production RAG & document intelligence
Reliable retrieval, source citations, evaluation harnesses, anti-hallucination controls — audits through full builds.
AI feature integration for existing SaaS
Add an AI capability without breaking your auth, data, search, or UX. I build the whole system around the model.
Elixir / Phoenix build & rescue
Backend, LiveView, Ash, Postgres, OTP, deployment — for teams on the stack or moving to it.
Fractional technical partner / CTO
Architecture, delivery, and product judgment for founders who need someone who has been the PM, engineer, and operator.
Fixed-scope starters — low commitment, fast proof
RAG / retrieval-quality audit
A scored review of your retrieval, chunking, citations, cost, and failure modes — with a concrete fix roadmap. Fixed fee, days not weeks.
AI-generated code review & hardening
If your MVP was built fast with AI assistance, I review it for correctness, security, maintainability, and production readiness — and harden what needs it.
LLM API / AI-feature integration sprint
One reliable AI feature into your existing product — retrieval, structured outputs, or tool-calling — wired into your data, auth, and UX.
AI SaaS launch-readiness audit
A pre-launch pass over your product — reliability, security, cost, and data — closing the gap between “code-complete” and “ready for real users.”
Working with me
I turn your idea into production-ready software
- I start with your goal, not my stack. First I understand what you're actually trying to achieve and where the real constraints are — then I map the most practical, lowest-risk path to get there. You get a clear plan before any code is written.
- Practical, production-grade delivery. No throwaway demos or half-built prototypes — you get working, maintainable software that runs under real load, deployed and handed over clean. Everything I ship is built to be used.
- Constant, clear communication. Regular updates in plain language, fast responses, and no going dark. You always know exactly where your project stands and what's coming next.
- AI fluency, working for you. I pair deep RAG/LLM and full-stack expertise with modern AI tooling to move faster and solve problems many teams can't — a real edge, put to work on your outcome.
Before the code — 18 years operating
Operator & founder track record
MITx MicroMasters, Statistics & Data Science (MIT) · Independent Directors Certification, IIM Bangalore · MBA · B.Tech, Computer Science
Let's talk
Have a system that needs building — or rescuing?
Best fit for production RAG, AI features in real products, and Elixir/Phoenix work. Tell me the outcome you need; I'll tell you the narrowest first step to prove I can deliver it.