Project 01
CAMPUS CONNECT AI
Agentic search for 1,000+ students — React, Python, FastAPI, NLP, vector embeddings, PostgreSQL. ~92% relevance; 55% lower query latency via caching and query tuning.
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SELECTED WORK
Full-stack and ML builds — semantic search at campus scale, health APIs on AWS, multimodal ML, and portfolio optimization.
Project 02
C.Y.R.U.S.
Voice + gesture ML with MediaPipe and Keras — fused inputs and signal processing at ~85ms end-to-end. Hands-free control for media, IoT, and accessibility.
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SYNTRA
React Native health app — Node.js/Express on AWS, 500 concurrent users at 99.8% uptime. HealthKit via Sahha SDK; 10,000+ daily data points for readiness insights.
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TRADEX
Portfolio optimizer — FastAPI backend, Next.js frontend, Black-Litterman and optimization. Backtested across 10+ market scenarios (NumPy, SciPy).
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T-MOBILE ESCAPE MCCOMBS
1st place out of 150+ teams — engineered an ML pipeline with vectorized NumPy solvers and Keras baselines for the McCombs School of Business hackathon (Nov 2025).
HighlightsMore context on the home page and in my resume.