Alex Bogart

Senior Software Engineer Technical Lead at Google

Irvine, California, United States
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Summary

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Rockstar
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Top School
Alex Bogart is a Senior Software Engineer and Technical Lead with 12 years of experience building and shipping reliable systems at Google, grounded in a strong academic background (MS CS, UC San Diego; BS Computer Engineering & CS, USC). He started his career with internships at EMC and NVIDIA, contributing to high-performance systems and open-source deep learning tooling—most notably adding comprehensive test coverage to NVIDIA's widely used DIGITS project. At Google he has progressed from software engineer to technical lead, blending hands-on coding, test automation, and cross-team delivery. Known for curiosity and a pragmatic focus on quality, he brings a tester’s attention to detail to large-scale production services. Based in Irvine, CA, he pairs research-era machine learning experience with practical engineering leadership to drive robust, maintainable software.
code12 years of coding experience
job7 years of employment as a software developer
bookBachelor’s Degree Computer Engineering and Computer Science, Bachelor’s Degree Computer Engineering and Computer Science at University of Southern California
bookUniversity of California, San Diego
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Github Skills (10)

testing10
pytest10
python10
gpu8
torchscript7
torch-hub7
deeplearning-ai7
machine-learning7
torch-net7
deep-learning7

Programming languages (5)

SmartyC++CHTMLDart

Github contributions (5)

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NVIDIA/DIGITS

Jun 2015 - Aug 2015

Deep Learning GPU Training System
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:18 commits, 4 PRs, 13 pushes in 1 month
Contributions summary:Alex primarily focused on writing and adding tests for the `digits` repository. Their work includes creating tests for tools like `resize_image.py`, `create_db.py`, and `parse_folder.py`. Additionally, they contributed by adding tests for `digits/config/prompt.py` and improving the existing testing framework by fixing output validation. This work demonstrates a clear focus on ensuring the quality and reliability of the project's tools through comprehensive testing.
deep-learninggputorchmachine-learningtraining
Group14-ASMS/REST-Server

Jan 2015 - May 2015

Contributions:17 pushes, 2 branches in 3 months
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