About

Shangeth Rajaa is a highly skilled Machine Learning Researcher with a strong background in Speech Representations, Unsupervised, semi-supervised, and Representation Learning. He is currently working at skit.ai as a Machine Learning Researcher, where he is responsible for developing and implementing cutting-edge ML solutions. Prior to his current role, Shangeth worked as a Research Assistant at the Speech and Language Laboratory, NTU Singapore under Prof. Chng Eng Siong where he gained expertise in Speech Representations, Unsupervised/Semi-Supervised Representation Learning, and Acoustic Environment, Speaker Profiling. He also worked as a Research Intern at IBM Research Labs, where he contributed to research in Deep Reinforcement Learning, Structured Data, and Data Quality. His work was submitted at KDD-2021. Shangeth holds a Master of Science (MSc) degree in Mathematics and a Bachelor of Engineering (BE) degree in Electrical and Electronics Engineering, both from Birla Institute of Technology and Science, Pilani. He has 2.79 years of relevant experience in the field of ML and AI. Shangeth is passionate about his work and is always looking to expand his knowledge and skills. He is interested in exploring new areas of ML and AI, and is currently focused on Speech Representations. He is also a Google Scholar and his research work can be found on https://scholar.google.com/citations?user=apmFPkAAAAAJ&hl=en. Shangeth is currently hiring Research fellows at skit.ai (vernacular.ai) and welcomes anyone interested to contact him. His technical expertise includes Research Scientist, ML, AI, and Reinforcement Learning.