Mao Ye
Engineering Leadership In Coupang
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMao Ye is an engineering leader with 13 years of experience building ML-driven ads and recommendation systems, currently leading ML efforts for Coupang's DSP and real-time bidding stack from CTR/CVR models to bidding algorithms. Previously he scaled Pinterest's ads organization and ML foundation—managing large teams and shipping features like auto-bidding, campaign budget optimization, and dynamic creative optimization that materially improved ad performance. His background spans data infrastructure, workflow management, and product-facing personalization, grounded in earlier roles building homefeed/topic systems and big-data platforms. An active backend contributor, he has improved workflow tooling in the well-known Pinball orchestration project, fixing bugs and adding tutorials to help others run scalable pipelines. Holding a Ph.D. in Computer Science and Engineering and based in San Francisco, he combines deep research training with hands-on production delivery at internet scale.
13 years of coding experience
13 years of employment as a software developer
Ph.D. Computer Science and Engineering, Ph.D. Computer Science and Engineering at Penn State UniversityBS Computer Science and Technology, BS Computer Science and Technology at Nanjing University
English, Chinese
Github Skills (5)
configuration-management10
workflow-management10
python10
django9
documentation7
Programming languages (1)
Github contributions (3)
pinterest/pinball
Mar 2015 - Feb 2016
Pinball is a scalable workflow manager
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 9 PRs, 7 pushes in 10 months
Contributions summary:Mao primarily addressed bugs and improved workflow configurations within the Pinball system. Their work involved modifying Python files, particularly around data handling, scheduling, and UI templates. Additionally, they contributed to documentation updates in both README and AUTHORS files. The user also added a tutorial with example workflows.
scalablepinballiftttworkflow-engineworkflow
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