Andrew Johnson
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Johnson is a seasoned technology leader with 13 years driving large-scale cloud, data center, and SRE organizations for companies including Google, Yahoo!, Twitter, and [24]7.ai. He has repeatedly built and scaled 100+ engineer teams, delivered multi-million-dollar revenue and uptime improvements, and negotiated high-stakes contracts while maintaining team morale and operational rigor. Known for operational tenacity and a hands-on approach, he led cost and reliability programs that produced measurable gains (e.g., 30% cost and 45% uptime improvements at [24]7.ai). Beyond leadership, he contributes to open-source AI work—tuning Monte Carlo Tree Search behavior in the well-known tensorflow/minigo project—indicating a practical interest in ML systems and data generation. Based in Seattle with a B.S.E.E., he combines deep infrastructure expertise with a strategic eye for emerging cloud technologies and talent development.
13 years of coding experience
11 years of employment as a software developer
B.S.E.E., Electrical Engineering, B.S.E.E., Electrical Engineering at Tennessee Technological University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
python10
game-development9
c-language6
cprogramming-language6
Programming languages (13)
Github contributions (5)
tensorflow/minigo
Nov 2017 - Apr 2020
An open-source implementation of the AlphaGoZero algorithm
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 339 commits, 273 PRs in 2 years 5 months
Contributions summary:Andrew primarily contributed to the Minigo project by modifying core gameplay logic and system behavior. Their commits focused on refining the MCTS algorithm by adjusting playout limits, refactoring code, and adding logging for debugging purposes. Furthermore, they made adjustments to the SGF output by adding comments, which suggest they also had an interest in data generation.
pythondeep-learningmachine-learningmonte-carlo-tree-searchgomoku
usgo/online-ratings
Jul 2014 - Mar 2017
AGA Online Ratings protocol and implementation
Contributions:109 commits, 12 PRs, 72 pushes in 2 years 7 months
ratings
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