Devashish Lohani is a machine learning researcher based in Grenoble with nine years of experience bridging academic research and industry applications in computer vision and explainable AI. Currently at Xpdeep, he focuses on developing interpretable models, drawing on a PhD in computer vision and hands-on research engineering roles. His background includes video analysis, drone-based cloud mapping, and practical OCR/invoice information extraction projects that emphasize robust, production-ready solutions. Devashish has moved seamlessly between labs and startups—LIRIS and Foxstream among them—combining theoretical methods like dimensionality reduction and clustering with deployable systems. He brings a strong foundation in algorithmic thinking from internships in parameterized algorithms and clustering, which informs his pragmatic approach to model explainability. Colleagues can expect a researcher who pairs deep technical rigor with experience shipping real-world ML systems.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Birla Institute of Applied Sciences
Master's degree, Graphics, Vision and Robotics, Master's degree, Graphics, Vision and Robotics at National School of Computer Science and Applied Mathematics of Grenoble
Doctor of Philosophy - PhD, Computer vision, Doctor of Philosophy - PhD, Computer vision at Université Lumière Lyon 2
Mathematics and Computer Science, Mathematics and Computer Science at Mallikarjun School
Contributions:2 PRs, 2 pushes, 3 branches in 1 day
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Devashish Lohani - Machine Learning Researcher at Xpdeep