Michael Welter is a Data Center Operations Server Engineer based in Tokyo with a decade of hands-on experience spanning HVAC maintenance, preventative maintenance planning at MIT, and current server engineering at AWS. He blends operational rigor with applied machine learning, having contributed a neural-network–based face alignment tracker to the open-source opentrack project that added recurrent models, uncertainty estimation, and eye-open/close classification. Comfortable in both physical infrastructure and ML workflows, he has delivered predictive models for building energy use through an Omdena AI-for-Good engagement. Michael holds a BS in Information Technology and brings practical systems thinking from facilities to cloud-scale data centers. Colleagues rely on him for durable, safety-conscious solutions that bridge hardware reliability and intelligent software.
10 years of coding experience
Bachelor of Science - BS, Information Technology, Bachelor of Science - BS, Information Technology at University of Phoenix
Head tracking software for MS Windows, Linux, and Apple OSX
Role in this project:
ML Engineer
Contributions:14 reviews, 22 commits, 29 PRs in 1 year 7 months
Contributions summary:Michael implemented a face alignment-based tracker using a neural network. They integrated an AI-powered model, referencing external code for model generation. The user made multiple changes to the neural network tracker, fixing a potential crash related to tiny bounding boxes, displaying inference time and relevant elements, and incorporating a new coordinate system. They also added support for recurrent models, uncertainty estimation, and an eye-open/close classifier, refining the tracking logic and preview display.
Contributions:31 commits, 14 PRs, 49 pushes in 6 years 1 month
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Michael Welter - Data Center Operations Server Engineer