Baojun Su

Principal Machine Learning Engineer at Uber Freight

Seattle, Washington, United States
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Summary

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Baojun Su is a Principal Machine Learning Engineer in Seattle with 15+ years building production AI across Ads, Pricing, Ranking and Enterprise platforms. He is a full‑stack ML practitioner who shepherds projects from data pipelines and feature engineering through model training, deployment and online serving, and in recent years has focused on production-grade Generative AI, LLM platforms, multi-agent systems and RAG pipelines. At Uber Freight he led the 0-to-1 UF AI Platform and a Text-to-SQL Insights AI product that achieved 93% accuracy and ranked 4th on the BIRD-SQL leaderboard, and earlier at Microsoft he shipped the Bing Ads Python SDK and deployed GPT-2 for ad copy generation. He combines deep systems experience (terabyte-scale KV store and low-latency services) with product impact, mentoring 20+ engineers and driving multi-million dollar run-rate savings. Notably, his background spans both low-level backend performance wins and cutting-edge LLM orchestration, making him comfortable across infrastructure, ML research and customer-facing AI.
code12 years of coding experience
job10 years of employment as a software developer
bookBachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Jiangsu University of Science and Technology
bookMaster's degree, Computer Application Technology, Master's degree, Computer Application Technology at Zhejiang University
languagesChinese, English
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Github Skills (8)

develop10
api10
python10
apidoc10
api-design9
restful-api9
rest-api9
api-rest9

Programming languages (6)

TypeScriptC#JavaC++Vim scriptPython

Github contributions (5)

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BingAds/BingAds-Python-SDK

Apr 2015 - Jul 2015

Role in this project:
userBack-end Developer
Contributions:2 releases, 6 commits, 6 pushes in 3 months
Contributions summary:Baojun primarily contributed to the development of the Bing Ads Python SDK, focusing on bulk file processing and API interactions. Their work included adding support for new ad extension types (App, Site Link, Image, Location, Call, Product), updating bulk file entities and mappings. They also implemented Bing Shopping Campaign and Native Ads support by adding entities for these features. Additionally, the user updated the code related to negative site and location targets.
freiz/dotfiles

Jan 2015 - Aug 2024

Contributions:29 pushes in 9 years 9 months
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Baojun Su - Principal Machine Learning Engineer at Uber Freight