Sunit Sivasankaran is a Senior Applied Scientist at Microsoft in Redmond with 12 years of experience specializing in ASR acoustic modeling, speech signal processing, and machine learning. He holds an MS in Digital Signal Processing from IIT Madras and completed a PhD in Computer Science, applying rigorous research to real-world speech and image problems. His background spans industry research roles at Inria and Samsung, engineering leadership at NDS and Dabblerr, and a track record of peer-reviewed IEEE publications and practical systems like automatic sign language recognition. A finalist in the Code for India Hackathon, he combines strong communication and product-minded engineering with deep technical expertise. He currently chairs the IEEE Signal Processing Society Seattle Chapter, reflecting his commitment to community and the research-practice bridge. Colleagues can expect a scientist who moves fluidly between foundational research and delivering production-quality speech solutions.
11 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universite de Lorraine
Bachelor of Engineering, Telecommunication, Bachelor of Engineering, Telecommunication at Visvesvaraya Technological University
BE, telecommunication, BE, telecommunication at RV College Of Engineering
Code to simulate a reverberated, noisy version of the WSJ-2MIX dataset
Contributions:6 commits, 1 PR, 13 pushes in 7 months
fmidatasetfuzzy-logicwsjnoisy
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Sunit Sivasankaran - Senior Applied Scientist at IEEE