Igor Saprykin
Research Engineer at Google DeepMind
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIgor Saprykin is a Research Engineer based in San Francisco with eight years of experience building high-stakes infrastructure and deep learning systems across Google, Stripe, CapitalG and now Google DeepMind. He combines production-grade engineering—working on core Google Search, AdWords serving systems and TensorFlow—with hands-on ML benchmarking and optimization, contributing performance improvements to the widely used tensorflow/models repo (notably ResNet and NCF). Comfortable shipping at scale, he has led projects that bridge research and production, refactoring distributed-training scripts and multi-GPU benchmarks to boost model throughput. His background in C++ systems work and a master’s in computer science from Odessa gives him breadth across low-level performance and modern ML stacks. Notably, he moves seamlessly between improving developer-facing open-source tools and operating critical, latency-sensitive services.
8 years of coding experience
13 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Odessa State Polytechnic University
Github Skills (10)
keras10
machine-learning10
benchmark10
benchmarking10
tensorflow10
python10
distributed-training9
deep-learning8
resnet8
gpu8
Programming languages (5)
Github contributions (5)
tensorflow/models
Sep 2017 - Aug 2019
Models and examples built with TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:16 commits, 25 PRs, 20 pushes in 1 year 11 months
Contributions summary:Igor primarily contributes to the TensorFlow models repository, focusing on benchmarking and optimizing models, particularly ResNet and NCF. They refactor existing code and add new benchmarks, testing against multiple GPUs. The user modifies scripts related to Keras and distribution strategies to integrate with the TensorFlow framework. They improve the overall performance of the models.
deep-learningtensorflow
isaprykin/os
Sep 2020 - Oct 2021
Contributions:30 commits, 35 pushes, 1 branch in 1 year 1 month
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