Matthew Ciolino is a data scientist with eight years of engineering and machine learning experience, currently applying computer vision and adversarial AI techniques at PeopleTec. He holds an MS in Computer Science from Georgia Tech and a BS in Mechanical Engineering from Lehigh, a background that gives him a strong mix of analytical rigor and systems thinking. Since joining PeopleTec in 2018 he progressed from junior engineer to machine learning engineer and now data scientist, shipping applied AI solutions in defense and industry contexts. His work focuses on robust perception models and adversarial resilience, blending research-grade methods with production constraints. Based in the New York City area, he bridges academia and applied engineering and is comfortable moving models from prototype to operational use. Colleagues note his mechanical-engineering roots inform a pragmatism for measurable, testable outcomes in complex ML projects.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Lehigh University
Data Science Portfolio made with React and Bootstrap. Developed with docker and deployed with AWS Amplify
Contributions:179 commits, 57 PRs, 244 pushes in 3 years
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