AI Infrastructure: Talks + AI Agent Workshops

Builders advancing the core layers of AI—from compute and hardware to tools and deployment platforms. Featuring global perspectives on scaling AI infrastructure sustainably, including energy and utility constraints, supporting emerging models, and enabling next-generation applications.

TechEquity Ai invites you to an evening of applied AI learning and hands-on building at the Snowflake SVAI Hub in Menlo Park. We bring together AI leaders, developers, founders, early-career talent, and professionals exploring AI.

This session is part of the TechEquity Ai Monthly Forum Series, combining strategic insights and real-world use cases from industry leaders, alongside technical workshops and live demonstrations.

Speakers

• Mamta Kochar, Sr Program Manager, Customer Engagement at Google
• Abhijeet Joshi, Senior Technical Program Manager at Nvidia
• Skip Rizzo, Chief Scientist at UbiquityVX Inc.
• Walter Greenleaf, Research & Innovations Director at Stanford Medical Mixed Reality Center
• Richie Bachala, Solutions Architecture Leader at Snowflake
• More speakers to be announced

What to Expect

Program details are subject to change.

3:00–3:30 PM | Registration
Check in; bring your laptop to set up for the workshop. Grab a drink, enjoy light refreshments, and connect with fellow attendees before the program begins.

3:30–8:15 PM | Keynotes + Workshops
[Workshop] Foundation to Intelligence Series w/ Cortex Code @Workshop Room - Richie Bachala/Snowflake
[Keynote] AI, Ethics, and the Rules Nobody Agreed On (Yet) @Meetup Room - Mamta Kochar/Google
[Panel] AI Infrastructure @Meetup Room - Moderator: Abhijeet Joshi/Nvidia
[Fireside Chat] @Meetup Room - Skip Rizzo/UbiquityVX, Inc., Moderator: Walter Greenleaf/Stanford
[Workshop] The Data Layer for AI: Scaling Web Access for Agents & Model Training @Workshop Room - TBA/BrightData
[Networking] @Meetup Room - A dedicated networking session

8:15–8:30 PM | Closing

Online participants can join via Zoom link. Access details will be sent to the email address provided during registration.

Who Should Attend
Infrastructure builders and platform engineers advancing compute, tooling, and deployment systems for scalable AI
Developers and engineers exploring applied AI and agent-based systems
Startup founders building AI-powered products
Students and career-transition professionals looking to deepen hands-on AI experience
Anyone interested in practical, responsible approaches to modern AI development

Important Details
Format: In-person and online; thought-leadership talks and hands-on workshops
What to Bring: Please bring a laptop for workshops
Code of Conduct: This event follows TechEquity Ai's community code of conduct to ensure a respectful, inclusive environment for all participants

Sponsorship Opportunities
Interested in getting involved? We welcome sponsors and exhibitors to take part through speaking opportunities, workshops, live demos, exhibits, and other formats.

Event Info
🎟️ Registration: RSVP required (limited capacity)
🍽️🪑 F&B and Seating: Limited and available on a first-come, first-served basis
🏢 Venue: Snowflake Silicon Valley AI Hub (SVAI)
📍 Address: 8th Floor at 135 Constitution Dr. Menlo Park, CA 94025
🚗Parking: Self-park in the garage next to the 135 Building
❗Arrival Guide: Download the guide at bit.ly/SVAI-Arrival-Guide

About the Event Organizer
TechEquity Ai is a nonprofit organization dedicated to democratizing access to artificial intelligence (AI) knowledge and applications.
Our flagship initiative is the TechEquity Ai Summit, a series of high-impact events designed to foster innovation, broad participation, and education in AI. In addition to the Summit, TechEquity Ai hosts a Monthly Forum Series to keep the community engaged year-round through ongoing learning, networking, and hands-on exploration of emerging AI tools and ideas.
Across our programs, we bring together builders, leaders, and learners through keynotes, panels, fireside chats, hands-on workshops, and interactive demos.
To learn more about TechEquity Ai and our programs, visit techequity-ai.org or reach out to us at [email protected].