Shekhar Agrawal, Senior Director of Data Science at Oracle, is an AI and data engineering expert with over 14 years of experience. He leads the development of Generative AI platforms and enterprise-scale machine learning systems that support thousands of customers worldwide. Known for his technical leadership, he has built robust AI governance frameworks, integrating innovative technologies such as Kubernetes, Spark, and Hadoop. Previously, he held impactful roles at IQVIA, Comcast, and AOL, delivering AI solutions that boosted operational efficiency and user experiences. With a master’s degree in electrical and computer science from the University of Cincinnati and a bachelor’s in engineering from Birla Institute of Technology, Shekhar blends deep technical expertise with strategic vision to drive innovation in data engineering and AI.
Srinivasa Sunil Chippada is a skilled Data Science Engineering expert with 19 years of experience in building scalable enterprise data systems. He offers valuable technical insights for maximizing data value through Feature Stores, Data Marts, Data pipelines and Data Integration techniques. Passionate about scaling Data Capabilities, he provides strategic technical insights to help organizations implement their data-driven visions. He has a Double Masters (MIS, MBA), is a certified Project Management Professional, and holds several technical Certifications.
Rathish Mohan is a distinguished applied scientist and AI/ML leader with over a decade of experience in machine learning, Natural Language Processing (NLP), and computer vision. He currently serves as a Senior Applied ML Scientist at Lore|Contagious Health, where he leads cross-disciplinary teams to develop advanced AI systems focused on real-time conversational AI and personalization engines, leveraging state-of-the-art technologies such as prefix tuning, LLMs, and RAG pipelines. Previously, Rathish held senior roles at Twitch, OfferUp, and Bold, driving key initiatives such as personalization algorithms, content moderation systems, and recommender engines. He holds a master’s degree in electrical engineering from the University of Cincinnati, where his thesis focused on optimizing sensor placement for fault detection using advanced machine learning techniques. With a passion for applying AI to real-world problems, Rathish continues to push the boundaries of AI in health, e-commerce, and user personalization.
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Rahul Vats is a distinguished Data and AI engineering leader with over 15 years of experience architecting and delivering AI-driven solutions for Fortune 500 companies. He specializes in Generative AI, Microsoft Copilot development,Retrieval-Augmented Generation (RAG) architectures, and Agentic AI—enabling enterprises to achieve scalable, intelligent, and cost-efficient solutions.
Currently a Senior Lead (Manager) at Capital One, Rahul leads a team of AI engineers delivering transformative solutions that integrate Generative AI with enterprise- grade data systems. His strategic initiatives have advanced Microsoft Copilot integrations, enhancing productivity through intuitive, AI-driven experiences.
Rahul's specializes in RAG architecture, building scalable knowledge retrieval pipelines for enterprise search, customer support automation, and decision-support systems. His modular frameworks have enhanced system scalability, contextual relevance, and streamlined information retrieval for enterprise users.
