Maksim Kholiavchenko
Computer Vision Engineer at Datacolor
City of Troy, New York, United States
Summary
👤
Senior🎓
Top SchoolMaksim Kholiavchenko is a computer vision engineer with a decade of experience specializing in deep learning for medical image analysis and industrial vision systems. He holds MS and PhD studies at Rensselaer Polytechnic Institute and a BS from Innopolis University, blending rigorous academic research with production-focused engineering. Maksim has applied CV expertise across startups and enterprises—from Roadly and X5 Retail Group to Checklens—and now contributes to product-driven vision work at Datacolor. Known for translating research ideas into deployable pipelines, he brings both algorithmic depth and practical experience in taking models from prototype to field use. Based in Troy, NY, he combines a researcher's curiosity with a pragmatist's focus on reliable, real-world solutions.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Innopolis UniversityMaster of Science, Computer Science, Master of Science, Computer Science at Rensselaer Polytechnic Institute
English, Russian
Stackoverflow
1reputation
0reached
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Github Skills (37)
detector9
push-notifications8
nvidia7
ray6
embedded5
computer-vision5
letter5
sdk5
deep-learning5
tensorrt5
python5
imap4
machine-learning4
linux4
inference4
Programming languages (5)
Github contributions (5)
dirtmaxim/lungs-finder
Jun 2017 - Jun 2019
Contributions:1 release, 16 commits, 1 PR in 1 year 11 months
raychestembedded-devicesdetectingembedded
dirtmaxim/OpenMultiTracker
Oct 2016 - Jan 2018
Contributions:21 commits, 1 PR, 18 pushes in 1 year 3 months
pythonplayersvisionhockeyobject-detection
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