About

Shashank Mujumdar is an accomplished Advisory Research Scientist at IBM Research, India, with over a decade of experience in the field of Data Quality for AI and Multi-modal Unstructured data analysis. He has a strong background in Deep Learning, Natural Language Processing, and Computer Vision, which enables him to work on research problems that require novel solutions while ensuring there is business adaptation. In his current role, Shashank engages with business stakeholders to understand their pain points, identifies the right technical problems to solve and builds a research agenda around it, proposes end-to-end frameworks to address various problems, designs the right set of experiments, and executes them to generate results. He then analyses the results and convinces the business stakeholders of the utility of the proposed framework, working towards integrating the research assets into production. Shashank's past experience includes working as an Advisory Research Engineer and Staff Research Engineer at IBM, where he developed solutions for clients through computer programming, worked on data from multiple sources, and derived meaningful insights from it. He has also engaged in research projects to target international conferences for publications, centered around his expertise in computer vision and image processing. His work has resulted in product integration and/or publication in AI conferences. Shashank holds a Master's degree in Computer Science from the International Institute of Information Technology and a Bachelor's degree in Computer Science from the same institution. He is a Research Scientist with expertise in AI, Computer Vision, Deep Learning, NLP, Integration, and Image Processing. He has published his research contributions and actively participates as a program committee member for AI conferences such as AAAI, IJCAI, EMNLP, ICPR, AISTATS, etc. In summary, Shashank is a highly skilled and experienced researcher with a strong background in AI and related fields. He has a proven track record of developing innovative solutions to complex problems and is adept at working with business stakeholders to ensure that his solutions are practical and effective.