ABOUT
I build AI systems that work in production — not just demos.
I'm a Research Scientist at UTSA's AI Lab, where I own the full deployment lifecycle of clinical AI systems — from process discovery with healthcare operators to architecture, production deployment, and iteration.
My main project, QuitTxt, is an AI-powered health intervention platform deployed in production for smoking cessation research. I built the RAG pipeline, the multi-channel messaging layer, and the real-time monitoring system. It's published in Health Education Research, a Q1 journal.
Outside the lab, I build fast. I shipped a WHOOP health analytics dashboard in under 24 hours. I architected a 15-agent orchestration system that automates operations across 6 platforms. I built a document intelligence pipeline that digitizes years of handwritten invoices using Google Document AI.
I'm strongest at the intersection of AI systems and production engineering — making things that actually work at scale, with real users.
Research Scientist
UTSA AI Lab
Own end-to-end deployment of QuitTxt, a clinical AI platform for smoking cessation. Published in Health Education Research (Q1). Peer reviewer for TrustNLP 2026 (ACL workshop, sponsored by Meta, Amazon, Capital One).
Graduate Research Assistant
UTSA Mobile Lab
Built QuitTxt's RAG pipeline, real-time seismic monitoring dashboard, and mobile health research tools under Dr. David Akopian. M.S. Computer Engineering, GPA 3.76.
NLP Research Intern
Industry
Production NLP pipelines for text classification and entity extraction.
B.Tech Computer Science
HITM Hyderabad
Undergraduate degree. Built my first projects here, got into machine learning, started writing code for things beyond coursework.
Research Scientist at UTSA — improving QuitTxt, publishing implementation paper
AI consulting — building document intelligence and compliance automation systems
Building in public — multi-agent systems, health dashboards, open-source contributions
Actively looking for FDE, ML Engineering, and AI Engineering roles at funded startups
AI Deployment
AI & ML
Backend
Frontend
Infrastructure
Data