Sabarinath Mahadevan
Machine Learning Research Scientist at Qualcomm
Aachen, North Rhine-Westphalia, Germany
Summary
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Senior🎓
Top SchoolSabarinath Mahadevan is a machine learning research scientist specializing in computer vision, currently driving research at Qualcomm in Munich after completing a PhD at RWTH Aachen under Prof. Bastian Leibe. With eight years of experience spanning academia and industry, his work focuses on instance segmentation, video object segmentation and interactive segmentation, bridging cutting-edge research with practical system development. He has a strong engineering foundation from earlier roles in software and systems engineering at companies like Novell and IBM, which enables him to translate novel algorithms into robust implementations. Based in Aachen, he combines deep academic expertise with production-minded rigor and a track record of building disaster-management and identity-management solutions—an uncommon blend that helps him tackle real-world vision problems end-to-end.
8 years of coding experience
9 years of employment as a software developer
Vidyodaya SchoolDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at RWTH Aachen UniversityBachelor of Technology (B.Tech.), Computer Science, Bachelor of Technology (B.Tech.), Computer Science at Cochin University of Science and Technology
English, German
Github Skills (7)
stem10
temporal9
segmentation9
computer-vision7
pytorch6
deep-learning6
instance-segmentation5
Programming languages (1)
Github contributions (5)
sabarim/STEm-Seg
Sep 2020 - Nov 2022
This repository contains the official implementation of the paper "STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos"
Contributions:1 review, 6 commits, 6 PRs in 2 years 2 months
pytorchstemdeep-learningembeddingsspatio-temporal
sabarim/itis
Jul 2018 - Aug 2019
Contributions:9 commits, 11 pushes, 1 branch in 1 year 1 month
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