Cover Image for AI in Production Mini Conference, July 2025
Cover Image for AI in Production Mini Conference, July 2025
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Open Source for AI
Providing all developers the resources to understand, use, and contribute to the development and direction of AI
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AI in Production Mini Conference, July 2025

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San Francisco, California
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About Event

This is the second installation of the AI in Production Mini Conference.

While AI is hyped up everywhere around us, it's not easy to know what's actually going on in production. The goal of this mini-conference is to understand what's happening in real life scenarios.

We're also super excited to have a judged demo day for the first time ever. We are featuring nearly 20 judges from various industry backgrounds, each with in-depth technical knowledge and expertise in their fields.

Agenda (tentative)

1:30 - 2:00: Arrival

2:00 - 2:40: Panel 1

2:45 - 3:25: Panel 2

3:30 - 4:30: Exhibitor Showcase

  • CopilotKit

4:35 - 5:00: Keynote

5:00 - 7:00: Demo day featuring judges from various tech leadership positions (with prize)! Apply to Demo Here

  1. ArcBlock

  2. Ockam

7:20 - 7:30: Awards

7:30 - 8:00: Networking

Code of Conduct: You must follow the AWS Community Codes of Conduct and agree to the AWS Event Terms and Conditions.

Judges

Rakesh Pullayikodi is a Staff Software Engineer with 15+ years of experience in architecting scalable, secure data platforms and real-time streaming systems across healthcare, e-commerce, and cybersecurity domains. His work includes building high-performance streaming data platform to standardize EHR data and incorporating machine learning models for clinical decision support. Rakesh is passionate about mentoring emerging talent and evaluating cutting-edge solutions that drive real-world impact.

Sarnab Poddar, Engineering Manager , Meta [ Leading Audience Platform for Meta AI and Ads], Founding Engineering Leader, Director , Twin Health [ helped build the Precision AI in Health Tech , part of Series A to Series D], Master in Computer Science [Applied Intelligence, Machine Learning] , Georgia Tech.

Kelvin Ngoc Nguyen is a Staff Software Engineer at Knoetic, where he leads production-grade AI initiatives, including a multi-agent, RAG-powered answer engine that achieves millisecond latencies. Previously, he built and operated large-scale data and ML platforms at Apple, Zuellig Pharma, Lynx Analytics, and abillion, gaining deep end-to-end experience spanning from petabyte-scale Spark pipelines to Kubernetes-based MLOps. Drawing on this background, he will judge demo teams on technical rigor, scalability, and real-world impact.

Goutham Bandapati is a Senior Cloud Solutions Architect at Microsoft, specializing in Azure Cloud and AI. He has deep expertise in AI governance, cloud resiliency, and security frameworks, helping enterprises build robust and scalable architectures. His work focuses on integrating AI workloads with secure cloud environments while driving innovation in cloud infrastructure readiness.

Yulai Bi s a Senior Software Engineer at Meta, where she was an initial member of the Business AI organization, helping build Meta’s AI Agent for merchants from the ground up. She has over five years of experience developing and scaling AI systems in production. Her work focuses on applied AI, infrastructure, and real-world product delivery.

Ashay Satav is a seasoned product leader with around 18 years of experience in the Fintech, SaaS and e-commerce spaces. He has a consistent track record of delivering innovative and groundbreaking products in AI, APIs and platform space for several companies, including eBay, Intuit, and Blackhawk Network, creating immense customer value. Currently, as a Director of Product Management at eBay, he leads the charter to use the power of generative AI and supercharge listing tools for small businesses to list inventory with minimal hassle and modernizing APIs and platform for scale and efficiency.

Location
Please register to see the exact location of this event.
San Francisco, California
Avatar for Open Source for AI
Presented by
Open Source for AI
Providing all developers the resources to understand, use, and contribute to the development and direction of AI
376 Going