#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)
Free to join
Go deeper with a course


Sat, Jul 12, 2025
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
233 students
Go deeper with a course


What you'll learn
2025 Q1 → Q2: What Shifted in Research and Enterprise
New Trends to Watch
What AI Practitioners Should Focus On Next
Why this topic matters
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
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