Ming Gao
Software Engineer, Machine Learning at Meta
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolMing Gao is a software engineer specializing in machine learning and real-time computer vision, with eight years of experience and four years focused on autonomous driving perception and robotics. He combines strong C++ and Python engineering with probabilistic state estimation, sensor fusion, and multi-sensor tracking to deliver production-ready perception systems. Ming has moved from research roles—improving clustering and sparse-group model selection—to building training and benchmark pipelines and automating hyperparameter tuning with transformer-based models at TuSimple. Now at Meta working on GenAI, he brings both deep academic rigor (MS Applied Statistics, 4.0) and practical experience shipping perception features at scale. Known as a programming enthusiast across C++, .NET, and Java, he pairs mathematical depth with hands-on systems design to bridge research and deployment. Colleagues value his track record of encoding uncertainty for downstream planning and turning large-scale data analyses into actionable pipelines.
8 years of coding experience
5 years of employment as a software developer
Master's degree Applied Statistics 4.0/4.0, Master's degree Applied Statistics 4.0/4.0 at University of MichiganBachelor's degree Applied Mathematics [Zhiyuan Honors Program] 3.7/4.0, Bachelor's degree Applied Mathematics [Zhiyuan Honors Program] 3.7/4.0 at Shanghai Jiao Tong University
Github Skills (16)
automation-ui7
testing6
wpf5
user-interface5
dotnet5
winforms4
keras4
csharp4
tensorflow3
deep-learning3
automation3
pytorch3
microsoft3
ui-testing3
neural-network2
Programming languages (2)
Github contributions (5)
gaoming1977/NNDL-Exercises
Apr 2020 - Jul 2020
Contributions:12 commits, 11 pushes, 1 branch in 2 months
gaoming1977/statistical-machine-learning-lab
Sep 2020 - May 2022
Contributions:6 pushes, 1 branch in 1 year 7 months
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