SF AI

Register on AICamp website is REQUIRED for admission.

Description:
Welcome to the AI meetup in San Francisco. Join us for deep dive tech talks on AI, GenAI, LLMs and Agentic AI, hands-on experiences with code labs and workshops, and networking with speakers and fellow AI developers, builders, startup founders.

Tech Talk: Optimize your Agent's GPA with Coding Agents
Speaker: Anupam Datta (Snowflake)
Abstract: In this talk, we will share how coding agents help developers build high quality agents faster. By the end, attendees will be able to use coding agents and the GPA framework to identify common agent failures, improve their agent and make it ready for production.

Tech Talk: Offline Agentic Porting with Arm MCP
Speaker: Avin Zarlez (Arm)
Abstract: AI coding agents are most valuable when they can act on real engineering context—securely and repeatably. This talk introduces the Arm MCP Server as a tool-backed “capability layer” that makes agents architecture-aware for porting and modernization, and shows how to integrate MCP servers into everyday development pipelines. We’ll cover both connected and air-gapped deployments, enabling teams to automate architecture migration checks and legacy-code updates without exposing proprietary source. The goal: keep long-lived codebases continuously modern, portable, and Arm-ready.

Speakers/Topics:
If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 50,000+ AI developers in San Francisco and 500K+ in global.

Microsoft Teams meeting
Join: https://teams.microsoft.com/meet/28528841719649?p=gVmjDIcylJR7jZTbxp
Meeting ID: 285 288 417 196 49
Passcode: if9uh6gC

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Abstract:

Learn how NVIDIA FLARE enables Kubernetes-native enterprise deployment for federated learning across on-prem and cloud environments. We will cover close K8s integration for elastic Server/Client Job Pods, decoupled control and execution design, and multi-project isolation for stronger security.