Thanks for visiting my website. I'm a CS student at BYU interested in the systems side of machine learning. Specifically how frontier models are built, served, and made faster in production.
I got here by trying a lot of things first. Early on I built with PHP, did some SEO, learned frontend, picked up GraphQL, and messed around with Arduino projects. That breadth eventually pointed me toward what really interests me: understanding what's happening underneath the abstraction.
Right now I'm focused on ML infrastructure. Things like CPU/GPU optimization, inference efficiency, and the systems that make models work at scale. I've found that the most interesting problems for me are between how a model is built and how it runs. Still learning, but that's the niche I'm going deep on.
Timeline
- ~2019
Built a mini Arduino project with my brother-in-law Josh Greaves — my first taste of programming and the joy of creating something interactive that others could use.
- 2021
Arrived at BYU as a freshman studying Computer Science. Took my first CS class with Dr. Nancy Fulda, learning C++, and fell in love with programming and debugging (except memory leaks).
- 2022–2024
Served a two-year mission in Vietnam. Stepped away from coding, but returned more interested — especially with the rise of large language models.
- Fall 2024
Back at BYU. Started learning React via an online course by Mosh, explored HTML and CSS, and dove into back-end programming as I entered my sophomore year.
- Winter 2024
Applied for a web dev role at BYU's College of Humanities — wore a tie, built a personal site, practiced my pitch. Got rejected. It pushed me to find better opportunities on my own.
- Sept. 2024
Met Jake Gunter and became lead web developer for Howard Lewis & Peterson, Gunter Injury Law, and Provo Criminal Defense. Learned PHP for real-world apps, SEO, and performance optimization.
- 2024–2025
Sophomore year at BYU. Took CS235 and CS240 (Software Design), deepening my skills in Java and TypeScript.
- Summer 2025
Interned at BLERP, a Twitch-associated company. Worked with GraphQL and JavaScript, building data pipelines that affected real streamers. Learned a ton from Aaron Hsu and Derek Omori.
- Fall 2025
Machine learning internship at Martian in San Francisco. Helped build data pipelines replicating popular ML benchmarks (HumanEval, MBPP, ARC-AGI). Learned from engineers from Google DeepMind, Meta, Snorkel, Telcoin, and UPenn.
- Winter 2025–Present
Junior year at BYU. Became a research assistant in Dr. David Wingate's PCCL lab, currently working on a WhatsApp LLM integration and a project called EVO.