The AI PM Playbook: Building AI Products at Scale

Aishwarya has built one of the most trusted AI communities in the world with over 1 Million followers who rely on her to cut through the noise.

She spent a decade building AI at the companies that defined the modern stack Google, Microsoft, and IBM. As the head of AI Developer Relations at Fireworks AI, she worked directly at the interface businesses, builders and the infrastructure powering production-scale AI systems. She holds a Master's in Data Science from Columbia University.

Aishwarya's teaching philosophy is simple: explain the real thing, not the sanitised version. Her sessions are known for being brutally honest, technically sharp, and remarkably clear.

Arvind brings a rare cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe, where he led data science teams and developed production-grade ML solutions tied to significant ARR growth.

He currently serves as AI Solutions Architect at Ema, a leading AI startup focused on agentic enterprise transformation, and is Founder of Eikos Health, an agentic scheduling platform for doctor-led clinics.

Arvind holds a Master's from Carnegie Mellon University. His teaching style emphasizes practical thinking, strong mental models, and translating AI concepts into production-ready solutions.

Shyamala Pragya is a Senior AI Product Manager at NVIDIA, where she leads the development and launch of conversational and generative AI products. Working at the intersection of cutting-edge model innovation and real-world product strategy, she brings a rare perspective on building AI systems that users trust and businesses rely on.

In her work, Shyamala focuses on translating complex AI capabilities into impactful products, navigating the challenges of model behavior, user experience, and scalability. She offers deep insight into how the AI PM role is evolving, what sets top performers apart, and what it truly takes to build in this fast-moving space.