About

Shounak Kundu is a highly skilled Machine Learning Engineer with a proven track record in designing and developing software solutions for large organizations. Equipped with Machine Learning and Deep Learning skills, Shounak has one approved US patent and one publication in Applied Deep Learning. He is currently working as a Data Scientist - III at InMobi, where he is responsible for Named Entity Recognition (NER) and Named Entity Disambiguation (NED) on news articles, using Transformers (XLNet) to predict the correct news article class. Prior to his current role, Shounak worked as a Machine Learning Engineer at buddi.ai, where he was responsible for working on Data Preprocessing to Deep Learning model building entire pipeline for the medical code prediction task. He also worked on Transformer based model (GPT2) on medical data to generate synthetic medical text from only keywords. Before that, he worked as a Senior Applications Engineer at Oracle, where he worked as a Product development engineer at Oracle Fusion HCM team. He worked as a developer in the U.S Payroll localization team and worked on the various critical bug fixes in the product. He also worked on the development of the tax card calculation functionality. Shounak has a Master of Technology - MTech in Computer Science from IIT Hyderabad, a Post Graduate Diploma in Data Analytics from IIIT Bangalore, and a Bachelor of Technology (B.Tech.) in Information Technology from West Bengal University of Technology. He has 7.37 years of relevant experience and is highly skilled in ML, Research Scientist, Data Scientist, Deep Learning, Mobile, Java, Pytorch, Scikit, Tensorflow, SQL, Spring, Software Engineer, Python, Information Retrieval, Keras, AI, NLP, Javascript, and Pandas.