A Full-Stack AI Engineer with 2.5+ years building production Agentic and Generative AI systems — multi-agent orchestration, RAG pipelines, and the full stack underneath them, in healthcare and enterprise settings.
For 2.5+ years I've architected and deployed production-grade Agentic and Generative AI systems across healthcare and enterprise domains — the kind that process real transactions, not just demos.
I'm comfortable designing a multi-agent orchestration graph in the morning and tuning a RAG retrieval pipeline by afternoon. Right now I'm at R1 RCM, where my system autonomously processes 100K+ healthcare claims a day and cut decision cycles from 48 hours to 2.
My favourite part? The moment an agent that used to need a human for every edge case starts handling them on its own — safely, and with a full audit trail.
Curious what this kind of role involves? Try my free learning module for AI Full-Stack and Forward Deployed Engineers.
↓ grouped like a real affinity map — drag the notes if you like
↓ smaller in scope than the day job, built solo end to end
A Splitwise-style expense splitter — group balances, PDF/Excel exports, and dashboards that actually make sense.
A mood journal that listens — Whisper transcribes your voice, RoBERTa reads the emotion, and it tracks your streaks.
Open to Full-Stack AI Engineer roles — agentic systems, RAG pipelines, and the production infrastructure underneath them. I'm quick to reply.