Yaroslav Tarkan is an AI Frameworks Engineer with six years of hands-on experience building reliable, user-focused software at Intel’s OpenVINO™ project, where he progressed from Deep Learning Software Engineer to framework-focused roles. He combines full-stack development skills with deep knowledge of AI model conversion and deployment, contributing notable notebooks and tooling to the high-profile openvinotoolkit/openvino_notebooks repository. Based in Dubai, he is comfortable bridging research and production—refining TF2 object detection conversion workflows, enhancing React tooling, and improving developer documentation and UX. With a master’s in Innovation Management and a background in business informatics, he brings both technical depth and product-minded thinking to complex ML engineering problems.
6 years of coding experience
4 years of employment as a software developer
Silver medalist, Silver medalist at Nizhny Novgorod Lyceum No 40
Master's degree, Innovation management, Master's degree, Innovation management at Высшая Школа Экономики
Contributions:63 reviews, 65 PRs, 3 pushes in 1 year 11 months
Contributions summary:Yaroslav's commits primarily focused on adding and refining a notebook related to TF2 Object Detection model conversion, which includes adding a new notebook, a readme, and several supporting features like Colab/Binder badges and descriptions for model inputs/outputs. The commits involved significant code changes and the user also addressed code review suggestions, updated wording, and formatted the notebook. The user also made several changes to the React app for the selector, implementing path aliases and adding a header component to the app.
Contributions:412 pushes, 92 branches in 1 year 9 months
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