Michael Apers
Senior Recommendation Engineer
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolMichael Apers is a Senior Recommendation Engineer with eight years of machine learning experience specializing in recommender systems, image analysis, and statistical modeling for guided estimating and virtual appraisals. He led patent-pending work at Mitchell—building an ML-driven estimate recommender and an intelligent photo-capture system—and created Mitchell’s Responsible AI framework to embed ethics into production workflows. Comfortable leading small teams and collaborating cross-functionally, he balances technical precision with product impact to deliver scalable solutions that improve user experience. With an MS in Pure Mathematics and a computer vision nanodegree, he combines rigorous theory with practical ML engineering, and brings a knack for turning nuanced domain problems into deployable, auditable models.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Applied Mathematics, Bachelor of Science - BS Applied Mathematics at University of New MexicoMaster of Science - MS Pure Mathematics, Master of Science - MS Pure Mathematics at The University of New MexicoNanodegree Computer Vision, Nanodegree Computer Vision at Udacity
Github Skills (6)
docker-image7
python6
machine-learning5
kaggle5
docker5
data-science4
Programming languages (2)
Github contributions (5)
perfectclear/PUBG-Data
Mar 2018 - Apr 2018
Contributions:28 commits, 25 pushes, 1 branch in 15 days
perfectclear/OWEloPrediction
Oct 2017 - Mar 2018
Contributions:4 pushes, 1 branch in 4 months
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