Mausoom Sarkar
Principal Scientist at Adobe
Noida, Uttar Pradesh, India
Summary
👤
Senior🎓
Top SchoolMausoom Sarkar is a Principal Scientist at Adobe with over fifteen years of deep expertise in deep learning and computer vision, focused on turning research into production-grade features for digital marketing. He led development of a neural architecture that parses document images into multi-level structural representations, now powering Adobe’s automated form conversion service, and has created methods for shoppable media and single-photo product search. His work blends novel research—co-creating an Introspection Network learning-to-learn technique—with pragmatic engineering like GPU/CPU optimizations and the first OpenCL-accelerated Photoshop feature. Based in Noida, he combines an IIT Kanpur M.Tech foundation with a decade-plus of hands-on applied research at Adobe, shipping customer-facing AI systems. Colleagues rely on him for bridging algorithmic innovation and scalable implementation, often finding elegant performance wins that make advanced models practical in production.
10 years of coding experience
14 years of employment as a software developer
Indian Institute of Technology Kanpur
English, Hindi, Bengali
Stackoverflow
1reputation
238reached
1answer
1question
Github Skills (6)
machine-learning7
deep-learning7
caffe7
pytorch6
tensorflow6
python6
Programming languages (1)
Github contributions (4)
conference-submission-anon/LAT_adversarial_robustness
Apr 2019 - Apr 2019
Contributions:42 commits in 4 days
BVLC/caffe
Oct 2015 - Oct 2015
Caffe: a fast open framework for deep learning.
Contributions:2 commits in 1 day
pytorchvisiondeep-learningmachine-learningcaffe
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