Case study coming soon
Fintech · [your role]
- Problem
- [What was broken or missing]
- What I built
- [What you built]
- Result
- [Measurable outcome, e.g. latency, cost, conversion]
Full-stack & AI engineer · Delhi, India
I build production AI features and backend systems for fintech and SaaS teams.
Six years of shipping software in fintech with Python, Node.js and React/Next.js. Working with teams in the EU and US, with overlapping hours.
Previously: Angel One · Kotak · Ionic Wealth · Google Summer of Code '20 · Pitivi
What I do
AI & LLM integration
Assistants, RAG over your own data, tool and MCP integrations, with guardrails, cost tracking and evals so it holds up in production.
- Python
- LLM gateways
- RAG
- MCP
Private & self-hosted LLMs
Open models running on your infrastructure for teams with data-privacy or GDPR constraints, with usage tracking and access control.
- Qwen
- llama.cpp
- LiteLLM
Full-stack product builds
From MVP to production: APIs, data pipelines and polished Next.js frontends, shipped in small, reviewable increments.
- Next.js
- React
- Node.js
- FastAPI
Backend rescue & scaling
Performance, reliability and cleanup for legacy or fast-grown services, especially in finance products where correctness matters.
- Python
- Node.js
- Postgres
Selected work
Let's talk
Have a product that needs an AI feature, a backend that needs rescuing, or an MVP to ship? Tell me what you're building.