Vineeth Rakesh Mohan

Senior Machine Learning Engineer, Adobe

Vineeth Rakesh Mohan is a Senior Machine Learning Engineer at Adobe, with deep expertise in building large-scale, production-grade AI systems for decisioning, personalization, and intelligent user experiences.

He currently works on Adobe Experience Platform, where he develops agent orchestration frameworks that leverage generative AI and large language models to power enterprise-scale personalization and experience orchestration. His work focuses on designing robust, scalable AI systems that enable coordinated reasoning across data, knowledge, and actions to deliver intelligent, context-aware customer experiences.

Prior to joining Adobe, Vineeth served as a Senior Staff Research Scientist at Visa, where he led multiple initiatives in risk-based authentication and next-generation AI systems for secure digital commerce. His work supported systems operating at billion-scale transaction volumes, optimized for low-latency, high-throughput decisioning, and informed the development of an emerging agentic commerce framework for intelligent post-purchase experiences.

Before Visa, Vineeth worked as a Research Scientist at InterDigital, where he built patent-focused information retrieval systems and applied language models to intellectual property documents, enabling document-to-document comparison and localized similarity matching. He also conducted research at Technicolor, focusing on user-behavior modeling, personalization, and recommendation systems.

Vineeth earned his Ph.D. in Computer Engineering from Wayne State University and later completed postdoctoral research at Arizona State University.

His technical interests span large language models, probabilistic machine learning, generative models, natural language processing, recommendation systems, and graph neural networks, with a strong focus on scalable engineering, model optimization, and deploying ML systems in high-stakes, production environments. He has published more than 30 research papers in top-tier venues including WWW, WSDM, KDD, ICML, and CVPR.