I’m a Computer Science graduate from George Mason University. Most of my work has landed somewhere between backend engineering and applied AI: moving 50,000+ daily images through cloud data pipelines, building APIs and long-running workflows, researching LLM inference, and creating retrieval systems that know when not to answer.
I’m especially interested in the less glamorous parts that decide whether intelligent software is actually useful: reliable data, durable state, evaluation, retries, and letting a human step in when the system gets something wrong.
A few projects where I followed the question far enough to turn it into working software.
A multi-tenant AI marketing agent that monitors social platforms, scores opportunities, generates on-brand content, and routes it through human approval before publishing. Built with safety controls and an auditable activity trail.
An asynchronous relocation agent that discovers, normalizes, and deduplicates housing listings, evaluates budget, commute, and lease constraints, and persists ranked decisions and workflow state in MongoDB.
A source-grounded question-answering service for FINRA rules. It uses section-aware ingestion, hybrid pgvector and full-text retrieval, evidence validation, precise citations, and explicit abstention when the corpus cannot support an answer.
A computer-vision platform for college tennis coaches that turns match footage into court detection, ball and player tracking, point segmentation, visual heatmaps, and actionable coaching insights on GPU infrastructure.
A resume can tell you what I have done. It is not very good at explaining how Siri, moving from India at sixteen, teaching code, and a pile of unfinished prototypes all connect.
Read my storyI also study model internals, teach programming, and build under competition constraints, experiences that sharpen how I reason, communicate, and ship.
George Mason University
Prototyping token-level sampling changes in vLLM and benchmarking GPU activation capture with a focus on preserving inference throughput.
George Mason University
Mentored 50+ students through labs, code reviews, and one-on-one guidance in object-oriented programming, data structures, and systematic debugging.
George Mason University
Recognized for academic performance across seven semesters of the Computer Science program.
Product, AI, and engineering competitions
Built and presented working products under tight team and time constraints, from AI social automation to computer vision for smarter buildings.
Have a role, project, or strange idea worth discussing? Send me an email, and I'll get back to you.
