I apply machine learning to real world problems.
Masters in Computer Science from UIUC
Specialization in applied machine learning.
Expected grad May, 2023.
National Center for Supercomputing Applications (NCSA)
Research Assistant, Oct 21-Present
Distributed Machine Learning Training
Research Assistant, Oct 2021-Present
Implemented distributed ML training on a GPU supercomputer, enabled by domain experts in biology and physics. Funded by the NSF.
Sarcos Robotics – Advanced exoskeletons
Machine Learning R&D Intern
Built machine learning vision segmentation models running on edge computers (Nvidia Jetson on-robot) including sensor fusion with depth sensing cameras to understand 3D scenes in pixel-per-pixel segmentation, at 100+ FPS, for highly accurate robot planning.
View my resume here.
Tools for Thought
What is the future of books? How can we make learning cheaper and easier by design? Like with a mnemonic medium? How can I build on the best examples on the internet today?
Pianists at every level drill scales so they can think in higher abstractions while they play. But no knowledge worker I know deliberately practices their craft. I’m hoping to bridge this gap, to craft a nice workspace, to leave more mental space free to invent new ideas.
Come look at the “tech stack” behind my creative process.
🧠 What AI algorithms win in the real world?
A Theoretical Analysis of the Algorithms that Win Kaggle Competitions
📰 Fake News Detection innovation using “Stance” (e.g. agree/disagree text corpus classification)
The Good Thinking blog
💻 Making Windows Excellent (become a 10x computer user)
💡 Most enlightening places on the internet (for CS nerds)
🍎 Best Apps for iOS (from a life-long android fanboy)
🎓 Academic Publishing is a joke; here’s a better way to communicate science. Draft, please add your comments 🙂
NASA In-Space Robotics Internships
Won HackMIT 2017 & 2018!
Climbing First Ascent using Custom UAVs
NASA Media Highlights
Follow my twitter
Follow my twitter 🐣 for machine learning news & memes.