Speakers – IEEE GEN AI 2025

The Enterprise GenAI Summit will focus on the development, deployment, and governance of AI applications across diverse industry sectors.

Keynote Speaker

Devavrat Shah is an Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. He is co-founder of Ikigai Labs whose mission is to transforming enterprise forecasting and planning with AI. Previously, he co-founded AI start-up Celect (part of Nike) to help retailers with allocation and fulfillment.

At MIT, he was the faculty director of Deshpande Center for Tech Innovation between 2020 to 2023, founding director of the Statistics and Data Science Center at MIT between 2016 to 2020. He is a distinguished alumni of his alma mater IIT Bombay. His work has been recognized through career prizes 2008 ACM Sigmetrics Rising Star and 2010 INFORMS Erlang Prize; paper prizes at IEEE Infocom, ACM Sigmetrics, NeurIPS, INFORMS Applied Probability Society, INFORM Management Science and Operations Management; INFORMS George B Dantzig thesis prize and test of time awards at ACM Sigmetrics. He is Kavli Fellow of National Academy of Sciences. He is an adjunct professor at Tata Institute of Fundamental Research, Mumbai and distinguished professor of Data Science and AI at Indian Institute of Technology, Guwahati.

Keynote Speaker

Aishwarya Srinivasan currently leads the Developer Relations – Growth at Fireworks AI. She was previously at Microsoft for Startups as a Senior AI Advisor to help Y Combinator startups build machine learning solutions, leveraging core Microsoft/ OpenAI products. Prior to this, Aishwarya was working as a Data Scientist in Google Cloud and before that an AI & ML Innovation Leader at IBM Data & AI. She holds a post-graduate in Data Science from Columbia University.

Industry Speaker

Puneet Arora is the Co-Founder and CEO of EkLine.io. He focuses on AI that makes documentation clear, searchable, and trusted by teams worldwide. Previously he led engineering for Confluence AI at Atlassian and delivered large scale, user facing, data intensive systems. Puneet holds a U.S. patent in collaborative docs and an MS in Computer Science from the University at Buffalo.

Industry Speaker

Nathalie Baracaldo is a Technical Lead, Senior Research Scientist and Master Inventor at IBM’s Almaden Research Center in San Jose, CA. She is currently leading the safety of IBM’s Granite language models. Nathalie has extensive experience delivering impactful machine learning solutions that are highly accurate, withstand adversarial attacks, and protect data privacy. Nathalie served as the primary investigator for the DARPA GARD program, where her focus was to ensure her team extended and maintained the Adversarial Robustness Toolbox (ART), as well as red teaming of image and object detection defenses. Nathalie also led the IBM federated learning effort and co-edited the book “Federated Learning: A Comprehensive Overview of Methods and Applications” Springer, 2022. In 2020 and 2021, she received the IBM Master Inventor distinction and the Corporate Technical Recognition, respectively. Her research has been published in top conferences in the fields of AI and Security, and has received multiple best paper awards. She received her doctorate from the University of Pittsburgh.

Industry Speaker

Marilyn Basanta is a technology leader specializing in software product management, AI infrastructure, and enterprise workload deployment. She is currently Senior Director of AI Software Product Management for AMD’s Instinct GPU product lines, shaping strategy and execution to deliver developer-friendly solutions for AI training and inference at scale.

Previously, Marilyn led AI Software Product Management at Intel and spent 11 years at VMware, where she launched VMware Edge Compute Stack and worked closely with global enterprises to optimize workload deployment across data centers, clouds, and the edge.

Industry Speaker

Jesse Chor is the founder and CEO of TANDA, an AI-driven fintech backed by Sequoia and Initialized Capital. A serial entrepreneur, he has held leadership roles at Expedia, Yahoo, and Splunk, where his work impacted millions worldwide. At IEEE, Jesse will reveal how the next wave of AI can reach audiences big tech has long ignored.

Industry Speaker

Mira Emmerling is a product and AI strategy leader with a track record of delivering P&L impact through cross-functional AI adoption and product innovation. She currently serves as Chief Product Officer and consults with organizations on implementing generative AI across core business functions. Her work helps teams move from experimentation to production-ready solutions, with a focus on fast, safe, and measurable ROI. Mira bridges product thinking, AI capability, and operational scale—delivering what she calls product strategy for the modern enterprise operating model.

Industry Speaker

Rajdeep Mazumder is a senior technology leader and IEEE Senior Member, heading Delta One and Structured Equity Derivatives Technology at HSBC USA. With experience at NASDAQ, Citi, and Morgan Stanley, he has built high-performance trading systems, led AI-driven innovations, and delivered resilient software platforms processing billions in daily transactions. He is a published researcher and speaker on AI in finance, committed to advancing innovation, resilience, and ethical technology in global markets.

Industry Speaker

Salome Mikadze is a Stanford Knight-Hennessy Scholar, is the co-founder of Movadex, a leading product design and development agency. She is the creator of the MVP Development Framework, a methodology that has guided over 100 startups in building and scaling AI-driven products.

Industry Speaker

Ipsita Mohanty is an AI entrepreneur, researcher, and industry leader. She is the Co-founder of QApp, an AI agentic platform backed by leading venture capital. Previously, as a Principal Machine Learning Engineer at Salesforce, she spearheaded the launch of Tableau Agents—an enterprise-grade, multimodal, multi-agent RAG system transforming natural language to visualization. She has also held applied science leadership roles at Walmart Labs and Goldman Sachs, driving advancements in recommendation systems, quantitative trading models, and AI-driven business optimization. Ipsita holds a Master’s degree in Information Technology from Carnegie Mellon University, where she specialized in machine learning and data-driven systems. She currently serves as Vice Chair of IEEE Women in Engineering, Santa Clara Valley, leading global AI initiatives, scholarships, and outreach programs. Her contributions to agentic systems, multimodal AI, and enterprise GenAI architectures are widely published, and her leadership has been honored with multiple globally recognized awards in AI leadership.

Industry Speaker

Ajay Mungara is a visionary software executive and a recognized leader in AI-driven business transformation. As Senior Director at Intel Corporation, he specializes in AI, generative, and agentic technologies, driving innovative solutions and measurable growth across cloud, enterprise, and edge computing domains. He has led global teams in delivering high-impact AI products and platforms, generating significant revenue and establishing Intel’s presence in the emerging AI markets. Celebrated for advocating human-centered AI, Ajay excels in AI transformation strategy, product and engineering leadership, and cultivating robust industry ecosystems through strategic partnerships. He holds executive and global MBAs from the Stanford Graduate School of Business and Thunderbird School of Global Management, as well as advanced degrees in technology and engineering. Ajay is passionate about empowering organizations to harness AI for sustainable growth, agility, and continuous innovation.

Industry Speaker

Dilip Patel is a data scientist turned product leader with over a decade of experience in scaling AI-driven Marketplace / eCommerce products from both growth and risk perspectives. At Amazon over the past five years, he led AI Pricing and Promotions, managing a team of PMs and Data Scientists, driving over $1B in incremental GMV and $500M in FCF. Outside of work, Dilip is a lifelong learner (MBA -UC Berkeley Haas, CS -Mumbai University, and CFA) and enjoys outdoor activities (skiing, water sports and hiking) with family (married, 2 boys) and friends in the SF Bay Area. Additionally, Dilip advises AI startup founders and coaches PMs on scaling AI products at UC Berkeley.

Industry Speaker

Kevin Patel is a Distinguished Software Apps Engineer at Yahoo, where he leads the architecture and integration of AI-driven capabilities within widely used products. He specializes in designing scalable solutions to support AI experimentation and deploying intelligent features through Yahoo’s infrastructure. At the intersection of AI innovation and user-facing applications, Kevin also architects and improves workflows with AI-enhanced tools and methodologies. His role bridges visionary strategy and hands-on execution, driving a modern developer experience enriched by artificial intelligence.

Industry Speaker

Mallika Rao is an Engineering Leader at Netflix with deep expertise in building and operating large-scale distributed systems, including search, recommendations, and personalization infrastructure. She brings a systems-thinking mindset to infrastructure strategy and is passionate about integrating generative AI into product and engineering in ways that enhance resilience, transparency, and operational excellence. Her work focuses on enabling teams to innovate rapidly while maintaining the stability and rigor required in enterprise-scale environments. Beyond her technical leadership, Mallika mentors early-career engineers and leaders, and draws inspiration from the elegance of mathematics and the improvisational creativity of music.

Industry Speaker

Anand Vasudevan is a technology executive and an impactful leader who has built products that scale to hundreds of millions of users. As Director of Engineering at Yahoo, he leads globally distributed teams focused on AI-powered innovation and user/revenue growth. Previously, he held leadership roles at Amazon, Motorola, and VC-backed startups, bringing deep expertise in scaling teams, driving growth, and launching new revenue streams. Anand is a graduate of the UC Berkeley Engineering Leadership program, an advisor to the University of San Francisco’s School of Management, and an active contributor to multiple leadership forums and the IEEE community.