Tailai Wen
Vice President Of Technology at SITE Technologies
United States
Summary
🤩
Rockstar🎓
Top SchoolTailai Wen is a hands-on technology executive and VP of Technology with 7 years of industry experience scaling AI-driven platforms across healthcare, construction, and industrial tech. He combines a Stanford PhD in Computational and Mathematical Engineering with deep engineering chops, leading teams of 30+ architects, engineers, and designers while remaining actively involved in AI architecture and development. Tailai has repeatedly turned research-grade breakthroughs—2D/3D computer vision, LLM applications, anomaly detection—into enterprise-grade SaaS and edge products, and was an early contributor to popular open-source time-series tooling (ADTK). He’s comfortable owning both strategy and low-level implementation, from cloud microservices to model pipelines, and has built zero-to-one data science organizations for startups and enterprises alike. Notably, his career includes patented methods for oilfield optimization and production-ready AI at scale for global real estate asset management. He blends academic rigor with product focus, shipping reliable, production ML systems that solve domain-specific operational problems.
7 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at Tsinghua UniversityDoctor of Philosophy (Ph.D.) Computational and Mathematical Engineering, Doctor of Philosophy (Ph.D.) Computational and Mathematical Engineering at Stanford University
Stackoverflow
1reputation
0reached
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0questions
Github Skills (9)
unit-testing10
pandas10
time-series10
anomaly-detection10
python10
pipeline10
data-analysis10
statsmodels9
lib9
Programming languages (7)
Github contributions (5)
arundo/adtk
Nov 2019 - Apr 2020
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Role in this project:
Backend Developer
Backend DeveloperContributions:16 releases, 57 commits, 129 PRs in 5 months
Contributions summary:Tailai's commits primarily focused on enhancing the core functionality and maintainability of the `adtk` library. They added support for Python 3.5, addressed a known pandas bug, and improved unit test coverage. Significant work was done on improving the seasonal decomposition transformer and the pipenet API. The user also addressed compatibility with statsmodels and pandas versions.
anomalypythontime-series-analysisoutlier-detectionrule
tailaiw/mind-your-language-action
Feb 2020 - Mar 2020
A GitHub action that monitors PR/issue comments and warns senders who used offensive language.
Contributions:2 releases, 66 commits, 2 pushes in 6 days
offensive-languageprofanity-check
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