Summary
Andrew Lee is a software engineer with eight years of experience who blends strong academic foundations in computer science and mathematics (Rice University, 3.90 GPA) with production engineering at scale across Amazon and Epic. He has shipped core backend services for Alexa that cut costs by 69% and reduced latency, and built automated test-generation tooling for LLM-driven features that removed manual maintenance of over 2,300 cases. His background spans full-stack automation, data infrastructure, and applied research—ranging from MATLAB signal-processing work on remote vital signs to integrating Elasticsearch and AWS services for fast analytics. As a seasoned teaching assistant and educator, he pairs technical delivery with clear communication and mentorship, helping teams and students understand complex systems. Andrew’s curiosity shows in cross-disciplinary projects (speech/bio-signal processing and hearing-aid ML) that favor practical efficiency gains as much as novel models.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science and Mathematics, Bachelor's degree Computer Science and Mathematics at Rice University