Summary
Zeyu Chen is a fourth-year Software Engineering student at the University of Waterloo with a decade of hands-on engineering experience across high-performance data platforms and ML tooling. Based in San Francisco, he has shipped production features and reliability improvements at Databricks, Snowflake, and Scale AI, and built infrastructure to scale market dataflows and secure developer workflows at Akuna Capital and Coinbase. His recent research work focuses on red-teaming LLM agents using Docker, vLLM, and PyTorch, blending adversarial experimentation with fine-tuning pipelines. Comfortable across systems, streaming engines, and metadata/compiler-level problems, he combines strong platform instincts with practical product delivery. An eye for observability and state-management quirks — demonstrated in stream join stability and state store visibility work — helps him turn subtle system failure modes into robust, deployable fixes.
10 years of coding experience
2 years of employment as a software developer
International Baccalaureate Diploma Programme, International Baccalaureate Diploma Programme at Colonel By Secondary School
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at University of Waterloo