Artem Lobantsev
AI Research Scientist at Philips
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolArtem Lobantsev is an AI research scientist with a PhD in deep learning and eight years of experience building end-to-end AI solutions for cardiology and medical imaging. At Philips Health Technology Innovation in Paris he bridges research, software engineering, and system design—taking projects from data curation and label recovery through PyTorch model development to ONNX-powered GPU deployments and real-time FastAPI microservices. He has hands-on expertise in multimodal medical data, GAN-based dataset augmentation, and sensor-fusion research from robotics, which gives him a unique perspective on noisy, heterogeneous clinical datasets. Comfortable with full-stack prototyping, he also builds interactive React demos and visualization tools to validate clinical workflows with stakeholders. Artem’s work is distinguished by combining rigorous academic research with practical production engineering, enabling clinically meaningful AI to move rapidly from lab to hospital.
8 years of coding experience
4 years of employment as a software developer
Specialist Diploma, Mechanical Engineering, Specialist Diploma, Mechanical Engineering at Санкт-Петербургский политехнический университет Петра ВеликогоPostgraduate, Machine learning, Postgraduate, Machine learning at ITMO University
Russian, French, English
Github Skills (67)
vowpal-wabbit10
seaborn10
editor10
plotly10
electron10
typescript10
vscode-extension10
vscode10
docker10
matplotlib10
ipynb10
pandas9
python9
visual-studio9
deep-learning9
Programming languages (6)
Github contributions (5)
lobantseff/segmentation-mask-overlay
Oct 2021 - Dec 2022
Plotting the segmentation masks has never been so exciting!
Contributions:7 commits, 2 PRs, 17 pushes in 1 year 2 months
philips-forks/ml-project-template
Oct 2022 - Dec 2024
Skip the pain and get right down to work with the lovely Jupyter.
Contributions:2 PRs, 16 pushes, 1 branch in 2 years 1 month
styleganjupyterlab-extensionjupyter-notebookskipmachine-learning
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