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Braden Everson 🌱🫀⚙️

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: Embedded Software Intern at Cognex Corporation! 👁️‍🗨️⚙️🦀 Investigating Rust integrations into Cognex Firmware

Braden Everson's GitHub stats

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 🦀🦾

Currently, I am working on a Rust crate named Unda 🌊. Unda aims to bring accelerated Machine Learning through the XLA library into Rust. Ensuring robust types and blazingly fast model training 🧠⚙️

Unda has ranked in 4th place for the MSOE Rosie Supercomputer Challenge!

Check out Unda!

My website

Braden Everson's Projects

babel icon babel

NLP Crate for Rust trimming, lemmatization and tokenizing strings

cafe icon cafe

Automated scheduled coffee maker for my dorm

fasttrackgardens icon fasttrackgardens

Making plant care more automated and easy based on web scraping and social media systems

fixercise icon fixercise

Customized Exercise, presented publicly in an 80's style social media platform

genezip icon genezip

Huffman Tree Genomics Compression Implementation

half-rs icon half-rs

Half-precision floating point types f16 and bf16 for Rust.

homebody icon homebody

Automating silly things with a raspberry pi, an asynchronous webserver, and a dream

hydra icon hydra

The triton library but with cuda bindings for all matrix multiplication

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