Summary
Liuyin Cheng is a data engineer with over a decade in software and more than eight years focused on data platforms, currently building pipelines at Character.AI in California. She has deep hands-on experience designing streaming and batch architectures using Spark, Flink, Presto/Hive, CDC, and Airflow, and is fluent in SQL/NoSQL modeling and Python/Java OOP. Her background spans fast-moving consumer tech at Airbnb, Snap, and Lyft, where she translated ambiguous product needs into reliable, scalable data infrastructure. Early roles in data science and research sharpened her ability to accelerate ETL at scale—once speeding preprocessing 20x on a 300GB dataset via Hadoop streaming—and she brings that performance-first mindset to production systems. With dual master’s degrees in Computer Science and Industrial Engineering, she blends system-level architecture with process optimization and a pragmatic appreciation for operational trade-offs.
11 years of coding experience
10 years of employment as a software developer
ESIEE Amiens
Master's Degree Computer Science and Engineering, Master's Degree Computer Science and Engineering at Santa Clara University
Master's degree Industrial Engineering, Master's degree Industrial Engineering at The Ohio State University
Bachelor's degree Automotive Engineering Technology/Technician, Bachelor's degree Automotive Engineering Technology/Technician at Beijing Institute of Technology
Chinese, English