Applied research, post-training, reinforcement learning
I am a Senior Director of Applied Research at NVIDIA where I lead post-training teams responsible for Nemotron post-training. Before that I helped grew NVIDIA's NeMo from 1 person (myself) into a multi-team effort.
Before NVIDIA, I worked as applied scientist at Apple, working on AppStore App and Games recommendations. And before that I worked at Microsoft where I wrote first version of GPU backend for CNTK.
I received my Ph.D. (in 2010) an and M.Sc. (in 2009) degrees in Information and Computer Science from University of California, Irvine. My advisor was: Prof. Natasa Przulj. I also go M.Sc. (in 2007) and B.Sc. (in 2005) in Applied Mathematics from National Taras Shevchenko University of Kyiv, Ukraine.
The best way to reach me is via kuchaev at gmail dot com.
Notes on applied research, systems, and modeling.
We are likely at the start of a significant paradigm shift in artificial intelligence (AI), comparable to how AlexNet marked the transformative arrival of deep learning in 2012 [1].
Read postI am frequently asked this question - “How to get a machine learning / deep learning internship?”Because the answer I give is somewhat standard and rather long I’ve decided to write this post.I hope that it will help someone I don’t know to get...
Read postThere is a very interesting project - “mentorstudents.org”. It tries to help students get started on their career paths by connecting them with and interviewing different people who are already in the industry and is willing to share some advice.
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