Summary
Spencer Chan is a software engineer with a decade of experience building reliable backend systems and infrastructure, currently contributing at Google from New York. He has a strong track record of improving data security and regional data architectures—at Seesaw he designed multi-region replication and backfilled historic data using DynamoDB streams, Lambda, and S3 to support education products used in half the U.S. schools. Prior roles span fintech network performance testing and research-grade signal processing, giving him a practical blend of systems, data, and low-level engineering skills. Spencer pairs hands-on implementation with thoughtful tooling and observability work, and his background in electrical engineering and data science informs a methodical approach to distributed systems and performance optimization.
10 years of coding experience
3 years of employment as a software developer
Johns Hopkins University
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Cooper Union