Dmitry Podviaznikov is Head of Data Science with over eight years of experience building end-to-end machine learning and deep learning solutions across energy, healthcare, and geoscience domains. He has led teams at Gazprom Neft to deploy production pipelines for image segmentation, forest area estimation, and seismic noise attenuation, and organized large-scale annotation and education initiatives including international courses and a GTC talk. Trained as a biophysicist (M.Sc. level) and an early contributor to open-source research tools, he combines domain research experience (fluxomics, ECG analysis) with practical ML engineering and product delivery. Known for turning complex scientific problems into deployable systems, he emphasizes long-term, result-oriented strategies and cross-functional collaboration.
8 years of coding experience
8 years of employment as a software developer
Specialist Biophysics, Specialist Biophysics at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Contributions:2 PRs, 5 pushes, 3 branches in 8 months
machine-learning
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