Ask AI about Luka Govedič
Post your question publicly — other visitors, and whoever manages this page, can answer. It will be visible on this page.
Want to hear about this company again? Follow it and we’ll email you when a new review appears.
AI-generated from reviews on this page. Verify anything important with the company directly.
Questions & Answers
No questions yet — be the first to ask.
Sign in to post
Your text is saved — you'll come right back to post.
Don't have an account? Create one
News & Press
No news yet. This is where the business shares its own updates and press.
Photos
No photos yet. Photos shared by reviewers will show up here.
About Luka Govedič
Luka Govedič is a PhD student at NYU's Courant Institute of Mathematical Sciences, advised by Sai Qian Zhang. Their research focuses on programming abstractions for performance, portability, and usability in machine learning and scientific computing, spanning programming languages, compilers, and formal methods. They are a maintainer of vLLM, contributing to model performance, compilation, kernel fusion, hardware portability, and the project's compilation infrastructure. Prior to NYU, they worked at Neural Magic (later acquired by Red Hat) on sparse large language model inference across GPU and CPU systems. They previously earned an M.Eng in EECS from MIT with a thesis on parallel loops in OpenCilk.
- Website
- lukagovedic.com
