Summary
Kai Wu is a backend software engineer with eight years of experience building data infrastructure and automation for biotech and research teams, currently developing backend services for a BCI startup in the San Francisco Bay Area. He has modernized cloud data platforms—migrating high-throughput experiment data to S3 and Databricks—and designed Postgres-backed delta tables to enable downstream AI/ML analytics. Kai automated thousands of weekly jobs with Prefect, introduced CI/CD with GitHub Actions, and delivered near-real-time visualizations that improved system observability and reduced manual work for scientists. His background in neurobiology and a CS master’s gives him a rare combination of domain knowledge and engineering rigor, enabling productive collaboration across biology, chemistry, and microscopy teams. Known for emphasizing reproducibility, testing, and documentation, he turns complex experimental workflows into reliable, auditable pipelines that accelerate research.
8 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Neurobiology Physiology & Behavior, Bachelor’s Degree Neurobiology Physiology & Behavior at University of California, Davis
Biological Sciences, Biological Sciences at De Anza College
Master's degree Computer Science, Master's degree Computer Science at Northeastern University
English, Chinese, French