Michael Peet
Software Engineer at Bloomberg LP
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMichael Peet is a software engineer with 11 years of hands-on experience building performant, production ML and web systems, currently designing a live annotation pipeline for document ranking at Bloomberg in New York. Trained in Mechatronics Engineering with an AI focus from the University of Waterloo, he blends machine learning, computer vision, and full-stack engineering to ship models and services that measurably improve metrics—examples include cutting false negatives by 61% in production object detection and saving $77k/year through backend optimizations. He has deep experience speeding up training and inference pipelines, debugging C++ model frameworks, and tuning ORM and job-processing bottlenecks to deliver 2–4x performance gains. Comfortable across the stack, Michael pairs experimental research (loss functions, synthetic data for underrepresented classes) with pragmatic engineering that scales in production.
11 years of coding experience
2 years of employment as a software developer
Forest Heights Collegiate InstituteMechatronics Engineering, Artificial Intelligence Option, Mechatronics, Robotics, and Automation Engineering, Mechatronics Engineering, Artificial Intelligence Option, Mechatronics, Robotics, and Automation Engineering at University of Waterloo
EnglishProgramming languages (2)
Github contributions (5)
NgHanson/mte_380_teensy
Feb 2019 - Mar 2019
Contributions:60 commits, 8 PRs, 46 pushes in 25 days
Sumobot1/Sumobot1.github.io
Aug 2015 - Feb 2022
Contributions:90 pushes, 1 branch in 6 years 7 months
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