About The Author's & Technical Reviewer
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. Currently, he is a Senior Applied ML Scientist at Lore | Contagious Health, where he leads cross-disciplinary teams to develop advanced AI systems. Rathish specializes in real-time conversational AI and personalization, leveraging cutting-edge technologies like prefix tuning, LLMs, and RAG pipelines to improve user health and well-being. In previous senior roles at Twitch, OfferUp, and Bold, he led initiatives in personalization, content moderation, and recommendation systems. Rathish 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. Passionate about real-world AI applications, he advances solutions in health, e-commerce, and user personalization.
Shekhar Agrawal is a seasoned AI and data engineering expert with over 14 years of experience in leading large-scale AI, ML, and NLP initiatives across globally recognized organizations. Currently a Senior Director of Data Science at Oracle Corporation, Shekhar spearheads the development of cutting-edge Generative AI platforms and enterprise-scale machine learning systems that serve thousands of customers worldwide. Known for building scalable AI governance frameworks and integrating technologies such as Kubernetes and Spark, Shekhar has held impactful roles at IQVIA, Comcast, and AOL. With advanced degrees in Electrical and Computer Science from the University of Cincinnati and a BE from BIT, he combines technical expertise with strategic vision to drive AI innovation.
Srinivasa Sunil Chippada is a Data Science Engineering expert with 18 years of experience. He offers valuable technical insights to help organizations maximize data value through Feature Stores, Data Marts, Data Pipelines, and Data Integration techniques. His expertise empowers organizations to build efficient and scalable data systems that leverage the full potential of data to drive innovation and business growth. Srinivasa is passionate about building scalable data capabilities and helping organizations to maximize the value of their data. He holds a double master’s degree (MIS and MBA), is a certified Project Management Professional, and has earned several technical certifications.
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ABOUT TECHNICAL REVIEWER
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Shivam Shukla is an experienced technology leader with nearly 10 years of expertise in designing and delivering advanced Data, Machine Learning, and Generative AI solutions. As a Lead Software Engineer (Senior Manager) at Prudential plc, he leads the development of comprehensive data products tailored for insurance, finance, and marketing industries.
Shivam holds an MBA in Data Science and a B.Tech in Information Technology. His skillset encompasses cloud computing (Azure, GCP), data engineering (Databricks), and DevOps practices. Key accomplishments include creating and deploying GitOps frameworks for seamless data pipeline onboarding, forecasting, and bug detection.
Passionate about innovation and leadership, Shivam drives impactful data driven transformations that deliver measurable business value.