Machine Learning Engineer at Toshiba Global Commerce Solutions
Warsaw, Masovian Voivodeship, Poland
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Summary
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Senior
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Top School
Dzianis Sivets is a Machine Learning Engineer with over a decade of professional experience and 7+ years focused on applied ML and deep learning, including five years specializing in computer vision and 3D vision problems. He has a strong track record building and deploying scalable data pipelines and inference systems across industry projects—from high-accuracy identity marker identification and point-cloud stitching to production pose estimation and LLM-backed chatbot pipelines. Proficient in Python, PyTorch, and data engineering tools, he pairs hands-on modeling (metric learning, object detection, pose estimation) with system-level engineering to move prototypes into production. His background in mathematics and system analysis informs rigorous experimentation (e.g., loss-function research and oriented bounding-box adaptations) and practical dataset/augmentation strategies. Based in Warsaw, he blends research-grade results with client-facing delivery, and recently helped modernize chatbot pipelines and prototype customizable image-generation services.
10 years of coding experience
8 years of employment as a software developer
Master's degree Mathematics and System Analysis, Master's degree Mathematics and System Analysis at Belarusian State University
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