Summary
Gagandeep Singh is a Senior Research Scientist based in Canada with a decade of experience building speech and language technologies across industry and academia. He has progressed from hands-on research roles at the University of Toronto to applied R&D positions at Nuance and Microsoft, focusing on speech synthesis, speaker verification, keyword spotting and ASR. His background blends rigorous computational-linguistics training (MSc) and signal-processing roots from an IIT Guwahati BTech, giving him deep expertise in both statistical parametric models and modern deep-learning approaches. Gagandeep has a track record of moving ideas into products—working on vocoders, TTS toolkits and mobile ASR—and has repeatedly bridged theory and production in commercial voice systems. Notably, his early work implemented wireless simulation protocols and low-bit receiver detection algorithms, reflecting a broad comfort with low-level systems as well as ML models. He is currently advancing speech research at Microsoft, bringing cross-disciplinary perspective and a pragmatic focus on scalable, real-world voice solutions.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Technology (BTech) Electronics and Communication Engineering, Bachelor of Technology (BTech) Electronics and Communication Engineering at Indian Institute of Technology, Guwahati
AlSSCE, AlSSCE at Guru Nanak Public School, Chandigarh
Master of Science (M.Sc.) Computational Linguistics, Master of Science (M.Sc.) Computational Linguistics at University of Toronto
English, Hindi, Punjabi