Presentation
On the AI side, I design and build LLM-powered applications: prompt-engineering workflows, RAG pipelines with LangChain, and structured AI configuration systems that let non-technical teams manage AI behavior without needing a developer for every change. I've built a production prompt-operations platform for a multi-tenant AI product, connecting business data to prompt templates and model configuration end-to-end.
On the backend, I work primarily in Python (FastAPI, Flask) with PostgreSQL and Snowflake, building REST APIs, data pipelines, and third-party integrations (payment systems, OAuth-based data sync, webhook automation). On the frontend, I build with React, TypeScript, and Angular — from admin dashboards to full client-facing portals.
Recent independent work includes a multi-service retail analytics platform (React/TypeScript + FastAPI) with Zoho Books integration, canonical data schemas, and 20+ analytics modules, and a legal-tech platform combining temporal data modeling with a privacy-first AI pipeline — anonymizing sensitive data before it ever reaches an LLM.
I'm comfortable owning a project end-to-end: architecture, implementation, testing, and deployment (Docker, CI/CD). I communicate clearly, work well with non-technical stakeholders, and I'm upfront about scope and timelines. Let's talk about what you're building.
