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Shubham Chaurasia is currently a researcher at Saarthi.ai. Prior to that, they worked as a software developer at Helloverify from January 2021 to January 2022. There, they developed, tested and debugged software tools utilised by clients and internal teams. Shubham also designed and configured databases and back end applications and programs. In addition, they resolved ongoing problems and accurately documented progress of the Django project.

Before working at Helloverify, Shubham was a machine learning engineer at Samsung Electronics from June 2019 to December 2020. There, they worked on NLP and Computer Vision problem on real world dataset. Some of their notable projects include building a sentiment analysis model using BERT (Bidirectional Encoder Representations for Transformers) using TensorFlow, face tracking in multiple-camera system using facial recognition model (FaceNet), SMS classification into transactional and non-transactional messages, and training a music source separator using u-net architecture which separates music and vocals from an audio musical file.

Shubham Chaurasia has a Master of Science in Machine Learning & AI from Liverpool John Moores University. Shubham also has a postgraduate degree in Machine Learning & AI from the International Institute of Information Technology Bangalore. Their undergraduate degree is in Computer Science from the LNM Institute of Information Technology. Shubham also has certifications in Convolutional Neural Networks in TensorFlow, Natural Language Processing in TensorFlow, Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, and Neural Networks and Deep Learning from Coursera.

They are on a team with Sujay Rokade - Researcher, Debaditya Mandal - Researcher. Shubham Chaurasia reports to Akash Singh, Research Scientist - NLU.