Manas J

Manas J is a data scientist at NVIDIA, with experience in developing innovative algorithms utilizing BERT NLP models to enhance user feedback analysis and issue detection. Notable achievements include improving accuracy by 12% through a new labeling method for NLP clusters and designing algorithms for identifying global issues across games. Prior experience includes research roles at Waterloo Engineering Bionics Lab, where a novel algorithm for detecting electrode shifts was developed, and at Université de Technologie de Compiègne, focusing on muscle aging research using high-density EMG grids. Manas J also has a background in biomedical signal processing and .NET development. Manas J holds a Bachelor’s Degree in Applied Mathematics from the University of Waterloo.