Summary
Matthew Tracy is a Senior Software Engineer with 11 years at Amazon, currently building next-generation systems for Amazon Leo (Kuiper) and previously leading core Generative AI architecture for Astro Home Monitoring. He architects scalable cloud-native platforms, having driven a cloud re-architecture that cut costs 50% while enabling 10x scaling and built low-latency caching and orchestration services for multi-domain LLM interactions. Matthew combines deep systems and data-platform experience—designing a petabyte-scale robotics data index, automated data-quality pipelines that reduced unusable data from 33% to <5%, and tooling that accelerated annotation and QA by multiples. He’s delivered organization-wide prompt engineering standards and automation that slashed tuning time by 75% and raised capability reliability above 90%, while leading cross-team privacy guardrails with >95% compliance. Based in Mercer Island, WA, he pairs hands-on engineering with mentorship and process transformation, consistently turning complex research and ML workflows into production-grade, developer-friendly systems. An early tinkerer in systems programming and mobile ML, he often bridges low-level engineering with high-level AI orchestration to get hard features shipped.
11 years of coding experience
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Purdue University
Computer Science, Computer Science at Harvard Summer School
English