TestMu Conference 2026TESTCNF’26

Dona believes that you are one experiment away from being your most powerful self at work. And yes, in life! Currently at her day job, she's running 100 experiments as the Chief Troublemaker of the Microsoft AI and Copilot Extensibility Program. Her goal is that people all over the world can use Microsoft's AI and Copilot programs to reason over their OWN data and truly make AI useful for their business. Dona is also a keynote speaker (fave audience is corporate leaders like YOU), a multi-published author (it turns out fiction writing is useful in software!), the owner of the ethical luxury fashion brand called Prima Dona Studios, and she has recently become a wine bar co-owner and is studying to be a sommelier. A few years ago, she was named one of Fast Company's 100 Most Productive People and Cosmopolitan magazine's Businessperson of the Year for her multi-faceted (aka weird) life. And yes, she is always ready to get on a plane and come see YOU.

Rushabh Mehta is a Staff Software Engineer at Meta with 12 years of experience building AI/ML infrastructure at billion-user scale. He currently leads development of environments to train and evaluate LLMs for agentic and tool-use capabilities, including onboarding evaluation benchmarks for rigorous model assessment. He built a Distributed Training Framework adopted by 80+ models, with a focus on training reliability — his cross-org initiatives have driven significant cost savings through GPU optimization and reduced idle time. Previously at Amazon, Rushabh led teams building Alexa's personalization platform and Prime Video's digital rights infrastructure. His backend work spans security, trust, and privacy across voice AI, payments, and streaming domains. Rushabh holds a Master's in Computer Science from Cornell University.

Nilesh is an engineering leader at Glean with more than 18 years of experience spanning machine learning, data, and large-scale systems. He previously co-founded Trooly, which was acquired by Airbnb, where he later led the Trust Infrastructure group, and has also served as CTO of Fiddler AI. Nilesh holds a Ph.D. in Computer Science from the University of Washington and a B.Tech from IIT Bombay, and is widely recognized for his work advancing trustworthy AI, with numerous patents, publications, and industry awards.

Rashi Agrawal is the Head of Agentic AI at Hinge Health, where she leads the strategic engineering of high-stakes AI systems within complex regulatory landscapes. By navigating the rigorous requirements of clinical safety, HIPAA, and global regulations, she ensures that disruptive technology remains both secure and compliant. Focused on the pioneer side of generative technology, Rashi is architecting "state-of-the-art" frameworks for Agentic AI that move beyond simple automation to solve critical member problems and drive dramatic business growth. Formerly the Head of AI at GoodLeap, she spearheaded enterprise-wide AI transformation initiatives, and earlier led engineering teams at Yahoo. A global explorer who has traveled to over 45 countries, she is an active thought leader in the Engineering Leadership and AI community, holds a Master's in Computer Science from San Jose State University, and is the founder of Women In Tech AI (WIT AI).

Jaydeep Chakrabarty is Senior Director – AI at Piramal Finance, an author, award-winning technology leader, and international speaker with over 20 years of experience across AI, engineering, innovation, design, and security. He leads the creation of enterprise AI platforms and AI-native engineering capabilities, including Context Layer 2.0 and Build Your Own Tech (BYOT). BYOT was recognised as the APAC Runner-up at Gartner's 2025 Eye on Innovation Awards for Banking and Investing, and Jaydeep was subsequently invited to join the judging panel for the 2026 awards. Jaydeep is the co-author of The Value Vector: Building Scalable Generative AI-Based Applications, published by Apress — a practical guide to identifying valuable AI opportunities and taking them securely and responsibly from experimentation to enterprise scale. An early practitioner of reinforcement learning through the OpenAI Gym ecosystem between 2017 and 2019, he has also contributed to open-source initiatives including Talisman and OpenStack. He has been recognised as Global Tech Influencer of the Year 2024 and among the Most Impactful and Visionary Leaders to Watch in 2025. A regular international speaker, he speaks on agentic AI, AI-native engineering, enterprise context, responsible AI, and converting emerging technology into measurable business value.

Viktoria Semaan is a Principal Technical Evangelist and AI Engineer with over 15 years of experience across cloud technologies, engineering, and management consulting. A recognized AI/ML Top Voice on LinkedIn and one of the leading global cloud influencers, Viktoria is known for turning cutting-edge AI advancements into practical tools and business value. She currently helps developers and enterprises adopt next-generation AI services, leading hands-on initiatives in multi-agent systems, retrieval-augmented generation (RAG), and modern AI toolchains. Her work bridges technical depth with strategic vision, accelerating how teams build and scale with AI. Viktoria holds an MBA from UCLA Anderson and completed an entrepreneurship program at HEC Paris. She is a frequent keynote speaker at major developer conferences worldwide, where she shares actionable strategies on applied AI, developer experience, and innovation at scale. With a following of over 630,000 tech professionals, she also actively mentors the next generation of builders, championing inclusive growth and continuous learning in the AI space.

Débora Leonardo is a Software Engineering Manager at the largest food delivery app in Latin America. She leads the Quality Engineering Platform with a conviction that guides every decision: quality must be a culture, not a checklist. At iFood, ensuring this means taking care of the experience of millions of people and the livelihoods of hundreds of thousands of restaurants and delivery drivers who rely on the platform every day. Throughout her career, she has dedicated herself to building teams and solutions that place quality at the center of software development, with a cross-functional role that influences teams, processes, and culture across the entire organization. In recent years, she has immersed herself in the intersection between artificial intelligence and software quality, exploring how to make quality processes smarter and fault detection faster and more predictive.

Dr. Jill Hosmer-Jolley is an educator, researcher, and speaker focused on the human side of artificial intelligence adoption. Her work explores how organizations successfully integrate AI by addressing the people, leadership, culture, and workforce changes required for technology to create meaningful impact. As a faculty member at California State University, Monterey Bay and an executive educator, Dr. Hosmer-Jolley teaches at the intersection of artificial intelligence, organizational behavior, leadership, and workforce transformation. She develops AI curriculum that prepares students and professionals to work effectively in a future where humans and intelligent systems collaborate. Her current research focuses on human-centered AI adoption, neurodiversity, organizational readiness, and the changing relationship between humans and technology. She examines why technically successful AI initiatives often struggle during implementation and how organizations can build trust, redesign workflows, and create environments where both people and AI systems thrive. Dr. Hosmer-Jolley brings a practical, applied perspective to AI conversations by bridging academic research and real-world business challenges. Her message emphasizes that the future of AI will not be determined by technology alone — it will depend on how effectively humans learn to lead, adapt, and partner with intelligent systems.