Agentic AI System Design Masterclass

Hosted by Aishwarya Srinivasan, Arvind Narayanamurthy, and Arpit Chaudhary

Thu, Jun 18, 2026

2:30 AM UTC (1 hour)

Virtual (Zoom)

Free to join

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Building a career in AI as a non-coder
Aishwarya Srinivasan
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What you'll learn

Why your AI demo won't survive production

Silent wrong answers, exploding costs, and invisible regressions: ways every AI demo dies in production.

Distributed-systems principles for shipping reliable AI

Treat the LLM as another unreliable upstream. Patterns from distributed systems mapped to their AI equivalents.

A production architecture walkthrough

Principles at work inside a real AI appointment platform built on AWS

Why this topic matters

Building an AI demo has never been easier but what does it actually take to put it in front of real users? This session is about closing that gap: how to architect an AI application that is reliable, observable, affordable, and ready for real users. You'll walk away with engineering principles for taking an AI product from demo to production

You'll learn from

Aishwarya Srinivasan

AI Entrepreneur | Ex-Google, Microsoft

Most Followed Indian Woman in AI | Founder @ The Gen Academy | AI Leader | Ex - Fireworks AI, Google, Microsoft, IBM

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 noice.

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 Narayanamurthy

AI Engineering Lead | Founder

Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM

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.

Arpit Chaudhary

Engineering Lead | Distributed Systems

Arpit Chaudhary is a Seattle-based Software Engineer with extensive experience working at Big tech firms including Adobe, Amazon and Apple. He specializes in distributed systems and cloud infrastructure. As a technical builder behind Eikos Schedule, an AI-native appointment platform, and a speaker at venues like API World and the IEEE events. Arpit brings a decade of pragmatic, production-tested infrastructure experience to the challenge of building reliable AI applications. He holds a Master's from Carnegie Mellon University.

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