Building intelligent systems at scale. Currently engineering the future of data & AI at Snowflake.
I'm a Machine Learning Engineer at Snowflake, where I build and deploy ML systems that operate at massive scale. My career has spanned health-tech, HR-tech, big tech, and national laboratory research — always at the intersection of data science and impactful products.
I hold a B.S. in Computer Science with a Data Science emphasis and a Minor in Mathematics from Brigham Young University, and I'm currently pursuing a Master of Science in Engineering in Artificial Intelligence at the University of Pennsylvania.
From building deep learning models for seizure detection at Lawrence Livermore National Laboratory to engineering ML solutions at Amazon and Snowflake, I thrive on solving hard problems with data and code.
Snowflake
Building and deploying machine learning systems on Snowflake's cloud data platform at enterprise scale, advancing AI-powered capabilities for data teams worldwide.
Lore | Contagious Health
Working to change the way health is maintained using AI/ML techniques. Built intelligent systems at the intersection of healthcare and machine learning.
BambooHR
Developed and deployed machine learning models to power HR technology solutions, helping organizations make smarter people-data decisions.
Amazon
Software engineering internship at Amazon, contributing to large-scale distributed systems and gaining experience in big tech engineering practices.
Lawrence Livermore National Laboratory
Capstone project working alongside a small team of student engineers to build full-stack deep learning models for seizure detection using EEG data. Responsibilities included research into relevant modeling techniques, data features, building the ML architecture, metrics, and more.
M.S.E. in Artificial Intelligence
Apr 2025 — Aug 2028
GPA: 4.0
B.S. Computer Science (Data Science), Minor in Mathematics
2019 — 2023
GPA: 3.85