Tam Le
Machine Learning Engineer at Google
Taiwan
Summary
👤
Senior🎓
Top SchoolTam Le is a Machine Learning Engineer with eight years of experience building production-grade AI systems, currently shaping AI-powered Pixel experiences at Google. He has a strong computer vision and ML research background, having developed transformer-based object detectors, segmentation and embedding search models at ViSenze and worked on graph neural networks and table-structure recognition at Cinnamon AI. Prior roles in platform system software at Google gave him hands-on experience with high-performance, memory-optimized compute platforms for Google Cloud hardware. He also has academic research experience in Vietnamese text-to-speech and taught algorithms and data structures to competitive programmers, reflecting both research rigor and practical teaching chops. Based in Taiwan and trained in Computer Science at VNUHCM, Tam blends deep learning research with systems engineering to move models from prototype to large-scale deployment. Notably, his career spans both low-level platform optimizations and cutting-edge vision model research—an uncommon combination that accelerates real-world ML product delivery.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at VNUHCM - University of Science
Vietnamese, English
Github Skills (54)
image-synthesis9
coc-nvim8
generative-adversarial-network8
hugo-theme8
shortcode8
image-processing7
hugo7
vim-plugin7
super-resolution7
ide7
neovim7
vim7
lua7
computer-vision6
spacevim6
Programming languages (10)
Github contributions (5)
incenger/CS50M
Jul 2018 - Apr 2021
Contributions:4 PRs, 20 pushes, 3 branches in 2 years 9 months
incenger/dotfiles
Aug 2018 - Dec 2022
Contributions:192 commits, 128 pushes, 1 branch in 4 years 4 months
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