Thomas H.

Thomas H. is a Machine Learning Engineer with experience at The Aerospace Corporation, where a custom document chunking microservice API and an arbitrary-length document generation method were developed. Previous roles include a Technical Intern position focused on high-frequency anomaly detection in rocket data using Pytorch and achieving model accuracy in classifying thermal images as an Undergraduate Research Fellow at Caltech. Thomas also served as a Teaching Assistant for robotics courses and conducted research involving sensor control and user interface development. Thomas holds a Bachelor of Science in Computer Science from Caltech, obtained between September 2018 and June 2022, and graduated from William Mason High School in June 2018.