Daniil Emtsev is a Machine Learning Software Engineer with 9 years of experience building real-time AI systems, currently developing camera-driven surgical training tools at VirtaMed. He combines a strong academic background (MSc in Computational Science, ETH Zurich; BSc in Data Science, MIPT) with hands-on expertise deploying video classification, object detection, and multimodal LLMs for live surgical guidance. His research-led work includes a patented state-of-the-art camera pose estimation method and generative models for de novo drug design, reflecting a blend of 3D geometry, computer vision, and generative modeling. Daniil has also applied ML in neuroscience and pharma contexts (fMRI, MRI, Alzheimer’s visualization) and taught ML to students and industry teams, showing an ability to translate research into practical training products for Fortune 500 clients. Notably, he builds systems that not only perceive complex scenes in real time but also provide actionable, instructional feedback—bridging perception and decision-making in safety-critical domains.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Data Science, 9.00/10.00, Bachelor's degree, Data Science, 9.00/10.00 at Moscow Institute of Physics and Technology (State University) (MIPT)
Master's degree, Computational Science, Master's degree, Computational Science at ETH Zürich
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