Summary
Jialiang Zhou is a Senior Software Engineer (Data & ML) based in the San Francisco Bay Area with 10 years of experience building data platforms, ETL pipelines, and ML infrastructure at both startups and large cloud companies. He has shipped production ML systems and data lakes at Amazon and REX, optimizing pipelines that cut runtime from days to minutes and reduced infrastructure cost by 60% while improving performance. Comfortable across the stack, he has built backend services with Java/Spring, PySpark pipelines, Airflow workflows, Kubernetes deployments, and AWS CDK-driven infra for model training and serving. At BitTorrent he paired blockchain parsing and HBase/PySpark analytics with developer tools for smart contract workflows, demonstrating versatility in both centralized and decentralized systems. Now at Unity, he continues to bridge data engineering and applied ML, bringing a scientist’s curiosity to pragmatic, production-grade solutions. Collected examples of dramatic pipeline optimizations and experience across MLFlow, SageMaker, and large-scale data stores underscore his focus on measurable impact.
10 years of coding experience
7 years of employment as a software developer
Careefe
University of California, San Diego