Michael Welter

Data Center Operations Server Engineer

Tokyo, Japan
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
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.
code10 years of coding experience
bookBachelor of Science - BS, Information Technology, Bachelor of Science - BS, Information Technology at University of Phoenix
github-logo-circle

Github Skills (11)

neural-network10
computer-vision10
machine-learning10
opencv10
c-language10
cprogramming-language10
ai10
onnx9
cpp9
c179
qt7

Programming languages (5)

C#C++CMakeMakefilePython

Github contributions (5)

github-logo-circle
opentrack/opentrack

Mar 2021 - Nov 2022

Head tracking software for MS Windows, Linux, and Apple OSX
Role in this project:
userML 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.
c-plus-plus-17c-plus-plusheadwiimoteheadtracking
DaWelter/h264decoder

Dec 2016 - Dec 2022

h264 decoding module for python based on libav
Contributions:31 commits, 14 PRs, 49 pushes in 6 years 1 month
libavpythondecodingh264decoder
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Michael Welter - Data Center Operations Server Engineer