Linjun L
Staff Data Scientist, Applied AI
Sunnyvale, California, United States
Summary
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Senior🎓
Top SchoolLinjun L is a Staff Data Scientist specializing in applied AI with over a decade of experience building production-grade ML systems across retail, social media infrastructure, healthcare, and utility forecasting. With a PhD in Statistical and Computational Physics and an MS in Statistics, Linjun blends rigorous research (three first-author peer-reviewed papers) with hands-on engineering in Python, R, Spark, Hive, GCP/AWS, and orchestration tools like Airflow and Luigi. Recent work at Walmart Global Tech focuses on graph representation learning, reinforcement learning, explainable recommendation decisions, Agentic AI, and pricing, while prior roles at Meta and Nielsen centered on network planning and marketing-effectiveness analytics. Beyond corporate work, Linjun leads pro-bono Tech4Good efforts to productionize AI-assisted platforms for community services, reflecting a knack for aligning technical execution to organizational needs. Known for pragmatic model validation, metric development, and feasibility analysis, he combines quantitative depth with a history of shipping reliable, tested data pipelines at scale.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy Statistical and Computational Physics, Doctor of Philosophy Statistical and Computational Physics at Virginia Tech
Chinese, EnglishProgramming languages (1)
Github contributions (5)
BarabaraLee/Multivariate-Statistical-Methods
Aug 2015 - Apr 2016
Contributions:5 commits, 11 pushes, 1 branch in 7 months
BarabaraLee/Data-Science-Projects
Sep 2020 - Dec 2020
Contributions:55 pushes, 1 branch in 2 months
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