A creator and innovator of data and software solutions, studying Data Science at UC San Diego.
I'm a Data Science student at UC San Diego who likes turning messy, real-world data
into systems people actually use. Across roles at GelTech Labs, Laxcen Technologies,
and UCSD Athletics, I've shipped machine-learning models, real-time cloud pipelines,
and full-stack apps that take raw sensor or sport data all the way to a clear decision.
My through-line is end-to-end ownership: I build the data layer (PostgreSQL, MQTT, AWS),
the models (XGBoost, PyTorch, scikit-learn), and the product around them (React, Next.js,
FastAPI) — increasingly wiring LLM and agentic workflows on top. I'm an AWS Certified
Solutions Architect, and I care most about work that's measurable, grounded, and genuinely useful.