Lead Research Engineer at British Machine Vision Association andSociety for Pattern Recognition
Chennai, Tamil Nadu, India
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Summary
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Senior
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Top School
Sudip Das is a Lead Research Engineer with 11 years of experience specializing in theoretical statistics and computer vision, currently applying deep learning to automotive perception at Valeo and research-grade visual scene understanding at the Indian Statistical Institute. He bridges academia and industry by translating advanced research in unsupervised, curriculum, transfer learning and domain adaptation into production-ready ADAS features for parking and driving. His work spans OCR and degraded-document reconstruction to activity recognition in images and video, and he has co-supervised students and published multiple papers in top conferences. Known for abstract problem solving and building small research teams, he combines rigorous statistical thinking with practical deployment experience across multidisciplinary engineering groups. An underappreciated strength is his ability to shepherd prototype algorithms from concept through performance tuning to production integration, reducing the typical research-to-product gap.
11 years of coding experience
7 years of employment as a software developer
High School, High School at Birati High School
Engineer’s Degree, Computer Science, A, Engineer’s Degree, Computer Science, A at Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT
Contributions:11 commits, 61 pushes, 1 branch in 16 days
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Sudip Das - Lead Research Engineer at British Machine Vision Association andSociety for Pattern Recognition