CS @ Georgia Tech. I care about ML systems, Infrastructure, real-time inference, and products that real users ship with.
I also just like to build things.
🧠 Georgia Tech CHART Lab — Lead Undergraduate Researcher
I work on the NLP team to allow professionals of disciplines to have real-time translations to technical jargon they may not understand. Fast inference paths so transformer models can flag specialized vocabulary in live collaboration settings, plus the surrounding preprocessing and evaluation stack so we can iterate on models and actually trust the numbers. A lot of it is multilingual—getting scientific and engineering jargon to line up across domains without the stack falling over on latency.
📐 Tabl — AI CAD generation ($150k raised)
Tabl is a product for mechanical engineers. AI CAD generation describe a part in natural language and get an STL you can work with.
🖥️ Kai — AI personal CRM & spotlight search
(Still in Progress) Kai is a native desktop app built like a real OS utility: a global spotlight-style palette over notes, tasks, and calendar. Under the hood it’s Rust and Tauri on the client, a Dockerized service layer that routes commands to web search and tools, and local LLM inference so everyday phrasing turns into structured actions without everything living in the cloud.
👻 Snap — Incoming Machine Learning Engineer Intern (Summer 2026).
🚀 Pally (YC S25) — Software Engineer Intern. Worked across full-stack, backend, infrastructure, and search - whatever my name was next to on the whiteboard
🛡️ Georgia Tech Research Institute — Software Development Engineer Intern. I built instrumentation in C++ and JavaScript to stress and profile simulation workloads—memory, CPU, timing—so teams could visualize performance.
Languages
ML & data
Frameworks & infra
