#1 Building Agentic AI Applications 2025 (Q2 Updates)

Hosted by Aishwarya Naresh Reganti and Kiriti Badam

Sat, Jul 12, 2025

4:00 PM UTC (45 minutes)

Virtual (Zoom)

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233 students

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Building Agentic AI Applications with a Problem-First Approach
Aishwarya Naresh Reganti and Kiriti Badam
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What you'll learn

2025 Q1 → Q2: What Shifted in Research and Enterprise

Understand how the agentic AI landscape evolved this quarter across both cutting-edge research and real enterprise use.

New Trends to Watch

Get a quick overview of agent protocols, reasoning models, and self-improvement methods worth paying attention to.

What AI Practitioners Should Focus On Next

Get a forward-looking view of where agentic AI is headed next and what matters most if you’re building or deploying in t

Why this topic matters

This session breaks down what changed from Q1 to Q2 in agentic AI, across both research and enterprise. We’ll cover AI protocols and updates, reasoning-first models, and early self-improving systems. You’ll see what trends are actually gaining traction, what’s still experimental, and what to watch for going forward. The goal is to give you a clear, up-to-date view of where agentic AI is heading an

You'll learn from

Aishwarya Naresh Reganti

Tech Lead | AI Advisor

Aishwarya Naresh Reganti is an Applied Science Tech Lead and leads initiatives to develop and deploy production-ready generative AI solutions enterprise clients. With over 9 years of experience in machine learning, she has published more than 35 research papers at top-tier AI conferences, including NeurIPS, AAAI, and CVPR.


Aishwarya has taught professional courses on generative AI at renowned institutions like MIT and Oxford. She has also designed free courses that have reached over 10,000 students globally and have formed the foundation for several academic programs and industry training curricula.


Recognized as one of the most prominent voices in enterprise AI, with over 100,000 professionals following her on LinkedIn, she is a sought-after thought leader frequently invited to speak at leading conferences and events, including TEDx, MLOps World, and ReWork.


Aishwarya actively collaborates with leading research professors and provides strategic advisory to organizations, enabling them to harness AI effectively to address complex business challenges.

Kiriti Badam

Member of Technical Staff @ OpenAI | AI Advisor | Ex-Google

Kiriti Badam is a member of the technical staff at OpenAI, with over a decade of experience designing high-impact enterprise AI systems. He specializes in AI-centric infrastructure, with deep expertise in large-scale compute, data engineering, and storage systems.

Prior to OpenAI, Kiriti was a founding engineer at Kumo.ai, a Forbes AI 50 startup, where he led the development of infrastructure that enabled training hundreds of models daily—driving significant ARR growth for enterprise clients.

Kiriti brings a rare blend of startup agility and enterprise-scale depth, having worked at companies like Google, Samsung, Databricks, and Kumo.ai. At Google Ads, he built globally distributed key-value stores that powered ad systems generating tens of billions in annual revenue.

He holds a Master’s degree from Carnegie Mellon University and a Bachelor’s from IIT Madras, where his research focused on advanced storage systems and distributed databases for AI workloads. A sought-after mentor and advisor, Kiriti helps startups and organizations design scalable AI infrastructure, reach product-market fit, and build long-term product strategy.


Worked/Taught At

Amazon Web Services
OpenAI
Google
University of Oxford
MIT research group

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