Shaw Lu
Staff Machine Learning Engineer at Coupang
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolShaw Lu is a Staff Machine Learning Engineer based in Palo Alto with eight years of experience building production ML and ranking systems at scale, primarily at Coupang. He combines strong engineering chops in Spark, TensorFlow, Flink, Kafka and graph technologies with hands-on SQL expertise—evidenced by his Beyond-LeetCode-SQL repository and extensive feature engineering work for lookalike models. Shaw has driven measurable business impact through AB tests and production experiments that improved GMV and conversion, and holds a patent for dynamic community tracking from his fraud-detection work. With an MS from Stanford in Management Science & Engineering and a background founding a startup, he blends product-minded experimentation with deep technical implementation. Outside work he writes for Towards Data Science and pursues pottery, reflecting a creative curiosity that complements his systems-first approach to ML.
8 years of coding experience
10 years of employment as a software developer
BS, Mechanical Engineering, BS, Mechanical Engineering at New York University Abu DhabiMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Sofia UniversityMS, Management Science & Engineering, MS, Management Science & Engineering at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
databases10
querying10
sql10
database10
lintcode10
database-design9
aggregations9
window-functions8
data-analysis8
Programming languages (11)
Github contributions (5)
shawlu95/Beyond-LeetCode-SQL
Mar 2019 - Nov 2021
Analysis of SQL Leetcode and classic interview questions, common pitfalls, anti-patterns and handy tricks. Sample databases.
Role in this project:
Database Engineer / Database Administrator
Database Engineer / Database AdministratorContributions:88 commits, 14 PRs, 148 pushes in 2 years 9 months
Contributions summary:Shaw primarily contributes SQL solutions to LeetCode problems related to database querying and data analysis. Their work focuses on writing SQL queries to solve various problems, including those involving joins, aggregations, and window functions. The user's commits demonstrate a strong proficiency in SQL, with solutions addressing problems of varying complexity, from basic select statements to more complex analytical queries. The contributions cover a wide array of SQL features.
antipatternsdatabasedatabasessql
shawlu95/Lookalike-Model
Sep 2018 - Apr 2019
Expanding a set of seed customers to a larger set of similar, high-valued customers.
Contributions:15 commits, 2 PRs, 18 pushes in 7 months
seedcustomersexpandingsimilar
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