Michael Russo
Product Manager at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Russo is a product manager and Stern MBA candidate with 11 years of experience shaping technology products at scale, currently driving Search Ads at Google. He began his career as a Deloitte technology consultant, leading system integrations for health insurance and government clients, and has product- and technical-program experience from roles at Amazon Game Studios. Michael combines strategic finance and entertainment/media coursework with hands-on technical contributions—in open source he added Kalman filter and stereo vision bindings to the GoCV computer-vision library, reflecting a practical comfort with low-level tooling. Based in Mountain View, he excels at translating cross-functional business objectives into actionable roadmaps and measurable outcomes. His profile blends rigorous consulting discipline, product leadership at a major platform, and a rare developer perspective on computer vision integrations.
11 years of coding experience
Master of Business Administration (M.B.A.), Master of Business Administration (M.B.A.) at New York University - Leonard N. Stern School of BusinessBachelor’s Degree, Economics/Finance, 3.8, Bachelor’s Degree, Economics/Finance, 3.8 at Villanova University
English, Spanish
Github Skills (10)
computer-vision10
opencv10
go10
kalman-filter10
image-processing9
cprogramming-language9
c-language9
stereoscopy8
stereo8
testing7
Programming languages (4)
Github contributions (5)
hybridgroup/gocv
Dec 2022 - Dec 2022
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 commit, 3 PRs, 5 comments in 1 day
Contributions summary:Michael primarily contributed to the development of bindings for the OpenCV library, specifically focusing on computer vision functionalities. They added bindings for the Kalman filter, enabling state estimation within the GoCV library. Furthermore, the user implemented new bindings for stereo vision functionalities and added smoke tests. These additions enhance the library's capabilities for tracking, triangulation, and other computer vision tasks.
face-trackingvideotensorflowcomputervisiondnn
michaelarusso/usergrid
Mar 2015 - Jul 2016
Contributions:141 pushes, 56 branches, 2 tags in 1 year 4 months
javaapache
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.