Louis Yang
Machine Learning Engineer at Google DeepMind
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolLouis Yang is a Machine Learning Engineer with a PhD in theoretical physics and a decade of experience building perception and image-understanding systems at Google Research and DeepMind. He combines rigorous academic training in cosmology and particle physics with practical ML production work, from probabilistic audience estimation at scale to state-of-the-art image models. A Kaggle Competitions Master (1 gold, 3 silver) who achieved top-1% finishes with solutions spanning CNNs, LightGBM/XGBoost ensembles, and optimization algorithms, he excels at blending domain knowledge, feature engineering, and ensemble strategies. His background includes publishing in high-impact physics journals and translating numerical/theoretical techniques into robust, production-ready models for billions of videos and images. Based in Mountain View, he’s known for applying physics-style modeling and numerical rigor to messy real-world data problems, often improving error metrics through novel grouping and ensembling ideas.
10 years of coding experience
13 years of employment as a software developer
University of California, Los AngelesBachelor of Science - BS Physics, Bachelor of Science - BS Physics at National Tsing Hua University
English, Chinese
Stackoverflow
3,661reputation
2.4mreached
20answers
6questions
dataframe
top-5%
jupyter
top-5%
pyspark
top-5%
anaconda
top-1%
python
top-5%
pandas
top-5%
Github Skills (200)
notebook10
parallel10
python10
language-server-protocol10
deep-learning10
visual-studio10
python-development10
qt10
r10
editor10
gradient10
gradient-boosting10
ml10
jupyter-widget10
lightgbm10
Programming languages (10)
Github contributions (5)
louis925/kaggle-web-traffic-time-series-forecasting
Jul 2017 - Jun 2018
won gold medal, 11th of 1095
Contributions:29 commits, 1 PR, 10 pushes in 11 months
goldmedal
skyhuang1208/tbrain-realestate
Oct 2019 - Feb 2020
Contributions:5 commits, 5 pushes in 4 months
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