Summary
Michael Yee is a Senior Data and Software Engineer with nine years focused on building scalable, cost-efficient data platforms and ML-powered services from Ottawa, Canada. He has driven major migrations—reducing data sync costs by over 50% with Airbyte and cutting Snowflake runtime/costs by ~20–25%—while implementing infra-as-code and CI/CD across cloud-native stacks. Michael blends hands-on ML (TensorFlow, Flair NLP) with production engineering, delivering services like receipt extraction, video deduplication, and high-availability screenshot pipelines. His background spans IoT predictive systems, real-time analytics, and automation dating back to lab-level wafer fabrication automation, giving him a strong systems and physics-informed perspective. A pragmatic technologist, he champions data governance, operational excellence, and stakeholder collaboration to turn complex data challenges into reliable products. Check his GitHub to see the experimental projects where he “tortures data to make it tell him anything.”
9 years of coding experience
25 years of employment as a software developer
B.Sc., Physics (Optics) and a minor in Computer Science, B.Sc., Physics (Optics) and a minor in Computer Science at Carleton University
M.Sc., Computer Science, M.Sc., Computer Science at Université du Québec à Hull / UQAH
French, Chinese