Andriy Levitskyy is a Senior Applied ML Scientist based in London with 8 years of hands-on experience building end-to-end data and computer vision solutions for enterprise and startup environments. He has led production ML work at Amazon and OpenTable and delivered impactful AML and customer-segmentation systems at Scotiabank, combining research-grade models (PyTorch, GNNs) with pragmatic engineering (AWS, Docker, FastAPI). Andriy excels at synthesizing synthetic datasets and rendering pipelines—having built Blender/Unreal-based data generation for facial makeup transfer—and at accelerating codepaths (including C rewrites that yielded 200x speedups). He is equally comfortable shipping polished demo and product interfaces with React/Flask and optimizing backend ETL and visualization tooling for investigator workflows. Multilingual and cross-disciplinary, he blends academic training in economics with deep technical fluency across Python, Spark, and computer vision stacks. Not obvious from titles: he has repeatedly taken small teams from research prototype to user-facing launches, bridging gaps between novel algorithms and production constraints.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Economics, Bachelor’s Degree Economics at University of Cambridge
Master of Arts - MA Economics, Master of Arts - MA Economics at University of Toronto
Contributions:14 commits, 2 PRs, 13 pushes in 1 year 10 months
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Andriy Levitskyy - Senior Applied ML Scientist at OpenTable