San Francisco Bay Area
Computer Science & Bioinformatics student (Applied Mathematics minor) at UC Santa Cruz and a Sabatte Family Full-Ride Scholar. I write fast, correct C++ systems code — the kind that powers AI/ML infrastructure and GPU systems at scale. Right now I'm an undergraduate AI researcher at UCSC's AIEA Lab (Explainable AI), building neuron-level analysis pipelines in PyTorch on a Nautilus Kubernetes cluster. I'm also building two independent C++ projects: - NVPilot — an autonomous GPU performance agent that reads live GPU telemetry (NVML) and safely tunes the system in real time through a perceive→plan→act→reflect loop - CPU Neural-Network Inference Engine — a from-scratch forward pass with no ML libraries, validated against PyTorch, with a CUDA port planned Coursework: parallel computing, distributed systems, GPU programming (CUDA), and computer architecture. Open to: software engineering internships in AI/ML infrastructure, GPU/systems, and low-level / high-performance computing. C/C++ | Python | CUDA (learning) | PyTorch | Linux | Docker | Kubernetes | Git | CMake
Selected to UC Santa Cruz's Tech4Good research lab, contributing to socially-impactful applications at the intersection of artificial intelligence and full-stack engineering. Onboarding into a production Angular codebase, building features using TypeScript, HTML, and CSS with Git-based code review and collaborative development workflows alongside a research team.
- Independently prospected and secured client engagement through cold outreach, delivering full website build from proposal to deployment - Built and deployed a fully responsive site with 20+ project gallery and secure contact forms; boosted web performance and SEO metrics by 45% - Developed interactive front-end with async video backgrounds, image galleries, and optimized animations using HTML5, CSS3, and JavaScript
Delivered structured coding curriculum to K-5 students across multiple elementary school campuses on a rotating weekly schedule. Translated abstract computational concepts — variables, conditionals, loops — into age-appropriate exercises, improving concept retention across diverse classrooms.