Tiep Vu
Staff Machine Learning Engineer at Uber
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolTiep Vu is a Staff Machine Learning Engineer with a decade of experience building production ML systems and research-grade computer vision models, currently at Uber after senior roles at Google. He holds a Ph.D. in Electrical and Electronics Engineering and has a track record of shipping impactful models—ranging from ads-quality prediction and cost-saving query models at Google to unsupervised segmentation and validation tooling for autonomous driving at Helm.ai. An active open-source contributor and maintainer of a personal ML blog, he also helped localize influential ML resources into Vietnamese and improved tooling for deep-learning textbooks. Known for bridging research and production, he combines rigorous academic training with pragmatic engineering to accelerate model development and operational efficiency.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.) Electrical and Electronics Engineering at Penn State UniversityBachelor's Degree Electrical Electronics and Communications Engineering, Bachelor's Degree Electrical Electronics and Communications Engineering at Hanoi University of Science and Technology
English, Vietnamese
Github Skills (20)
markdown10
python10
machine-learning10
markdown-it10
jekyll10
pdf-generation10
liquid10
scripting9
css9
text-processing9
shell9
web-development9
html9
script9
file-handling9
Programming languages (8)
Github contributions (5)
mlbvn/ml-yearning-vi
Oct 2019 - Jan 2020
Bản dịch tiếng Việt cuốn sách "Machine Leaning Yearning"
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:194 commits, 328 PRs, 329 pushes in 2 months
Contributions summary:Tiep primarily contributed to the Vietnamese translation of the "Machine Learning Yearning" book. They were responsible for creating a script in Python (`run.py`) to generate a combined markdown file from individual chapter files, including table of contents and links. They also modified the script to reformat chapters and create PDF files using a shell script and `pdfkit`. The user actively updated the script to include new chapters and modify the progress table.
leaningyearningmachine-leaningmachine-learning
d2l-ai/d2l-vi
Nov 2019 - Aug 2020
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:220 commits, 478 PRs, 919 pushes in 8 months
Contributions summary:Tiep contributed to the project by implementing features related to markdown processing and code block handling. Their work involved modifying the `utils.py` and `test_utils.py` files to add functionality such as block comments, header indicators, and math support. These changes enhanced the documentation generation process, indicating a focus on improving the user experience within the project's context of a deep learning book.
kagglepythonvietnamese-languagetensorflowd2l
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