Alex Ilchenko
Machine Learning Software Engineer at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlex Ilchenko is a Machine Learning Software Engineer with 12 years of experience building and productionizing ML systems across top-tier tech companies, currently at Meta after a multi-year tenure at Google. He combines applied mathematics training from Case Western Reserve with hands-on engineering roles at Google, Amazon, IBM, and Progressive, focusing on scalable model training and TPU tooling. An active contributor to the tensorflow/tpu repo, he has reduced colab flakiness and improved TPUStrategy and custom training notebooks to help practitioners bridge research and cloud TPU production. Alex is based in San Francisco and is known for pragmatic refactors that clarify documentation and developer workflows—an approach that often surfaces elegant, low-friction fixes others overlook. He brings both academic rigor and production sensibility, and has a subtle taste for the color orange.
12 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Applied Mathematics, Master of Science (MS) Applied Mathematics at Case Western Reserve University
English, Spanish, Russian
Stackoverflow
322reputation
11kreached
11answers
0questions
Github Skills (12)
keras10
tensorflow10
tpu10
google-colaboratory9
machine-learning9
google-colab9
documentation8
google-cloud-storage6
google-compute-engine6
google-cloud-platform6
python6
tensorflow-serving6
Programming languages (8)
Github contributions (5)
tensorflow/tpu
Jul 2019 - Nov 2019
Reference models and tools for Cloud TPUs.
Role in this project:
ML Engineer
ML EngineerContributions:7 commits, 14 comments, 3 issues in 4 months
Contributions summary:Alex contributed to the project by fixing flakiness issues within the TPU-related colab notebooks. They also added and updated colab notebooks for TPUStrategy and custom training using TPUs. Additionally, the user appears to be involved in refactoring documentation to clarify usage and improve understanding of the model training processes in relation to the target TPU hardware.
cloud
ijkilchenko/A_neural_network
May 2015 - Sep 2015
Contributions:15 commits, 18 pushes, 5 branches in 3 months
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