I am a software engineer at Facebook where I work on large scale sparse models for personalization. I co-authored a system capable of training and serving models with tens of billions of parameters that is powering Ads and Feed Ranking. Later I was one of the core developers of the Caffe2 framework that brings power of neural nets to multiple areas at Facebook.
Before Facebook I graduated with an MS in applied mathematics in Ukraine. While in college I had a successful career in programming competitions and was ranked in Top 20 on Topcoder.
Recommender systems, large-scale optimization, machine learning platforms and neural networks
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
Jongsoo Park, Maxim Naumov, Protonu Basu, Summer Deng, Aravind Kalaiah, Daya Khudia, James Law, Parth Malani, Andrey Malevich, Satish Nadathur, Juan Pino, Martin Schatz, Alexander Sidorov, Viswanath Sivakumar, Andrew Tulloch, Xiaodong Wang, Yiming Wu, Hector Yuen, Utku Diril, Dmytro Dzhulgakov, Kim Hazelwood, Bill Jia, Yangqing Jia, Lin Qiao, Vijay Rao, Nadav Rotem, Sungjoo Yoo, Mikhail Smelyanskiy
ArXiv - November 24, 2018
Kim Hazelwood, Sarah Bird, David Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang
HPCA 2018 - February 24, 2018