Ke Wang
Senior Software Engineer at Google
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolKe Wang is a Senior Software Engineer in the San Francisco Bay Area with 10 years of experience building large-scale ML and cloud systems, currently focused on generative AI serving infrastructure at Google. He blends deep research instincts—from publications and prior work in nonlinear optics and bioinformatics—with practical engineering, having led delivery of enterprise CRM and order-management platforms early in his career. Ke contributes to open-source reinforcement learning (notably improvements to TensorFlow Agents’ PPO implementation and TD-lambda returns), reflecting a hands-on interest in scalable RL libraries. Equally comfortable in research and production, he pairs strong academic credentials across Europe and the U.S. with proven ability to ship robust, well-tested ML infrastructure at scale.
10 years of coding experience
4 years of employment as a software developer
Foreign Semester, Electrical and Electronics Engineering, 92/100, Foreign Semester, Electrical and Electronics Engineering, 92/100 at City University LondonMaster's degree, Microelectronics and Microsystems, 1.1/1.0 (A+), Master's degree, Microelectronics and Microsystems, 1.1/1.0 (A+) at Technische Universität Hamburg-HarburgMaster's degree, Business Administration and Management, General, 1.7/1.0 (A-), Master's degree, Business Administration and Management, General, 1.7/1.0 (A-) at Northern Institute of Technology ManagementBachelor's degree, Electrical Engineering and Automation, 92/100, Bachelor's degree, Electrical Engineering and Automation, 92/100 at Nanjing University of Aeronautics and AstronauticsMaster of Engineering (MEng), Biomedical/Medical Engineering, 4.00/4.00 (A), Master of Engineering (MEng), Biomedical/Medical Engineering, 4.00/4.00 (A) at Cornell University
English, Chinese, German
Github Skills (10)
algorithm10
algorithms10
ppp10
agent10
tensorflow10
ai-agent10
python10
reinforcement-learning10
machine-learning9
bandit4
Programming languages (2)
Github contributions (5)
tensorflow/agents
Nov 2018 - Aug 2019
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Role in this project:
ML Engineer
ML EngineerContributions:5 commits in 8 months
Contributions summary:Ke contributed to the TensorFlow Agents library, specifically focusing on the Proximal Policy Optimization (PPO) agent. Their work included refactoring advantage and return calculations and fixing shape mismatches in TD lambda return calculations. Furthermore, they improved documentation and added an integration test using a driver. These changes directly impact the functionality and efficiency of reinforcement learning algorithms within the library.
scalabletf-agentsmultiagent-reinforcement-learningtensorflow-librarymulti-armed-bandits
cornellgit/learn-python
Jun 2016 - Feb 2018
Contributions:10 pushes in 1 year 8 months
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