Fireside Chat with Avinav Pashine (Product Lead @ Meta)
Part of Global AI Builder Series: by The Gen Academy
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Hosted by Aishwarya Srinivasan & Arvind Narayan and Avinav Pashine
Mon, Sep 7, 2026
3:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
Mon, Sep 7, 2026
3:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
What you'll learn
A short, specific title about what students will learn
A short, specific title about what students will learn
A short, specific title about what students will learn
Why this topic matters
You'll learn from
Aishwarya Srinivasan & Arvind Narayan
AI Engineers | Building & Teaching @ The Gen Academy
Aishwarya Srinivasan is the co-founder of The Gen Academy and one of the world's most recognized AI educators, with a community of over 1.2 million AI professionals across social platforms. Previously, she led AI Developer Relations at Fireworks AI and spent over a decade building AI products and ecosystems at Google, Microsoft, and IBM. She holds a Master's in Data Science from Columbia University. Known for breaking down complex AI concepts with clarity and honesty, Aishwarya teaches builders how to move beyond demos and develop production-ready AI systems that solve real business problems.
Arvind Narayanamurthy is the Co-founder of The Gen Academy, Previously AI Solutions Architect at Ema, and Founder of Eikos Health. He has built and deployed enterprise AI systems across Microsoft, IBM, Adobe, and high-growth startups, leading initiatives that translated machine learning into measurable business impact. Arvind holds a Master's degree from Carnegie Mellon University. His teaching focuses on first-principles thinking, practical engineering, and helping builders design, evaluate, and deploy reliable AI systems for production.
Avinav Pashine
Product Lead AI for Wearables (CV/LLM) @Meta
Avinav Pashine is a Product Lead for AI Wearables at Meta, working at the intersection of computer vision, large language models, and next-generation computing experiences. He has spent more than a decade building 0β1 products, with a focus on turning emerging technologies into products people can use in the real world. His work explores how AI can move beyond screens to understand our environment, movement, and physical context.
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