Summary
Jiaming Qu (Jeremy) is a software engineer with nine years of experience building data-driven systems, currently pursuing an MS in Data Science at Columbia University and interning at Jetzy. He has strong hands-on experience optimizing ETL and real-time bidding pipelines (achieving 99.9% stability and measurable reductions in fraud/loss) and migrating large-scale data to analytical stores like Apache Doris. His background spans data analysis, machine learning, and algorithm/system design across industry and research roles—from NetEase ad platforms to financial data automation and university research. Jiaming combines rigorous quantitative training (summa cum laude B.S. in Mathematics from Ohio State) with practical production skills in Java, Python, Spark/Hive, and monitoring with Prometheus. He’s particularly focused on recommendation and transportation systems where efficiency and interpretability matter, and he often turns large log volumes into actionable business improvements. Ambitious and collaborative, he’s actively seeking summer internships to apply ML and systems design to real-world challenges.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Mathematics, 3.91/4.0 (summa cum laude), Bachelor of Science - BS, Mathematics, 3.91/4.0 (summa cum laude) at 美国俄亥俄州立大学
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Columbia University
English, Chinese