01About Me
I thrive at the intersection of heavy computation and intelligent algorithms. My background in computational chemistry gives me a unique perspective on handling massive, complex datasets, while my computer science expertise allows me to engineer systems that process them smoothly.
I don't just train models — I build the end-to-end infrastructure required to feed them, deploy them, and scale them in production. Off the screen, I'm passionate about snowboarding down mountains, swimming, and experimenting with my homelab network.
02Selected Work
Led the development of a highly scalable materials database containing 26,000+ entries. Designed the cloud infrastructure and data pipelines from scratch.
GPTArticleExtractor
Built an advanced NLP pipeline utilizing Large Language Models to extract structured, complex scientific data from a massive corpus of 22,000+ papers.
Vector Field Reconstruction
Designed and trained custom U-Net architectures focused on high-precision coordinate transformations and vector field reconstruction.