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Debdoot Mukherjee
Head of AI, Demand Engg @ Meesho
Professional Background
Debdoot Mukherjee is a distinguished professional with over 14 years of extensive experience in the intersection of data science, engineering management, and technical architecture. Currently, he is at the helm of the AI and Demand Engineering teams at Meesho, where he continues to demonstrate a passion for leveraging scientific principles to transform data into innovative products that enhance user experience and drive business growth.
Prior to his current role, Debdoot made significant contributions to ShareChat, India’s fastest-growing social media platform, and Moj, the country’s leading short video app. As Vice President of AI, he led the charge in several key areas including Feed Ranking, Ad Relevance, Multimodal Content Understanding, and Camera and Video Intelligence. His expertise in developing massive scale machine learning platforms has positioned him as a trusted leader in the AI community.
Before joining ShareChat, Debdoot was the Head of AI at Hike Messenger, where he managed data science initiatives centering around Conversational Modeling, Computer Vision, and Social Network Analysis. His tenure at Myntra was marked by his role as both Lead Data Scientist and Manager, focusing on groundbreaking projects in personalization and customer analytics. Furthermore, he began his professional journey at IBM Research, where he tackled complex challenges in enterprise search and information extraction, contributing to products that elevated knowledge worker productivity.
Education and Achievements
Debdoot Mukherjee graduated with distinction from the Indian Institute of Technology (IIT), Delhi, completing an M.Tech. in Computer Science and Engineering. His academic excellence set a strong foundation for his future endeavors in the tech landscape.
In addition to his academic qualifications, Debdoot's professional achievements are remarkable. He has authored more than 20 publications in esteemed international conferences, showcasing his expertise and thought leadership in data science and machine learning. Furthermore, Debdoot has filed over 25 patents, a testament to his innovative approaches and contributions to the field of technology and AI.
Notable Contributions
Debdoot’s expertise spans a multitude of specialties including Recommender Systems, Information Retrieval, User Modeling, Personalization, Information Extraction, and Machine Learning. He is also highly skilled in Social Graph Mining and Context-Based Applications, making significant strides in how these technologies enhance user engagement and business insights.
His work has not only influenced the operational strategies of leading tech firms but has also shaped the broader landscape of data science practices in India and beyond. With a keen understanding of the nuances that drive consumer behavior and technological advancements, Debdoot Mukherjee continues to be a pivotal figure in the AI and machine learning community, paving the way for the next generation of tech innovations.