Computer Science and Machine Learning student at the Milwaukee School of Engineering(MSOE) with a strong emphasis in Machine Learning and the Rust Programming language
Current Position: Software Intern at Cognex Corporation! ποΈβπ¨οΈβοΈπ¦
I am fascinated by the world of Embedded Systems, Rust, Machine Learning and the unions that these three topics hold. I believe that Rust can serve not only as the future of machine learning, but its embedded runtimes can bring new avenues and use cases for Machine Learning in embedded environments π¦π¦Ύ
Currently, I am working on a Rust crate named Unda π. Unda aims to bring accelerated Machine Learning through the XLA library into Rust. Ensuring robust types and blazingly fast model training π§ βοΈ
Unda has ranked in 4th place for the MSOE Rosie Supercomputer Challenge!
- Unda - Accelerated deep learning in Rust π§ βοΈ
- GeneZip - Small Rust CLI for compressing raw genome data using Huffman Trees and Run-baased encoding π«π
- SiteSmith - Rust CLI for automatic personal website generation π οΈ