eSupervisor Detail

About me

MS in CS (Indiana University), Head TA coordinating 5 TAs and mentoring 200 students, debugging code and architecture weekly. I read 1-2 research papers weekly, not for class, just to understand what's under the hood. Built production systems at Accenture (Node.js APIs, React dashboards, OAuth 2.0, CI/CD) for 7M users, plus my own ML/full-stack projects. I give direct feedback, not just encouragement.

Interests: I'm most interested in applied ML: retrieval-augmented generation, knowledge graphs, and making model outputs explainable rather than black-box. I built a project combining Neo4j knowledge graphs with a local LLaMA pipeline to ground predictions in real evidence instead of hallucinated output. I'm also drawn to systems-level tradeoffs: how architecture decisions actually hold up under real data and real users, not just in theory.