Agentic AI Meetup - Silicon Valley
Welcome to the AI meetup in Silicon Valley, in collaboration with SAP. Join us for deep dive tech talks on AI, GenAI, LLMs and Agent, hands-on experiences on code labs, workshops, and networking with speakers and fellow developers.
Agenda:
- 5:30pm~6:00pm: Checkin, food/drink and networking
- 6:00pm~7:30pm: Tech talks and Q&A
- 7:30pm~8:00pm: Open discussion and Mixer
Tech Talk: End-to-End Agentic Coding
Speakers: Sahil Bansal (CodeRabbit)
Abstract: AI can generate code fast, but without code reviews keeping up, the ROI on implementing AI for SDLC remains limited. In this talk, we’ll show how you can use agentic workflows in the CLI to automate the full lifecycle from code get to reviews to fixes, without leaving either the CLI or the IDE. We will share details of our purpose-built context engineering approach that incorporates data from your repo history, dependency graphs, MCP servers, and custom review rules to catch hidden bugs, identify refactors, and prevent race conditions. You’ll walk away with a workflow that lets you automate your code review process wherever you work.
Tech Talk: Distributed Deep Learning at Scale
Speakers: Suman Debnath (Anyscale)
Abstract: As deep learning models grow in complexity, particularly with the rise of Large Language Models (LLMs) and generative AI, scalable and cost-effective training has become a critical challenge. This talk introduces Ray Train, an open-source, production-ready library built for seamless distributed deep learning. We will explore its architecture, advanced resource scheduling, and intuitive APIs that simplify integration with popular frameworks such as PyTorch, Lightning, and HuggingFace. Attendees will leave with a clear understanding of how Ray Train accelerates large-scale model training while ensuring reliability and efficiency in production environments.
Tech Talk: Context is All You Need
Speaker: Aman Singla (Immersa AI)
Abstract: In this session, we’ll show how to structure and deliver the right context to large language models (LLMs) so they can actually reason through tasks - not just retrieve answers. We'll show practical ways to provide context across prompts and tools, using a Model Context Repository to make your AI apps much smarter.
Speakers/Topics:
Stay tuned as we are updating speakers and schedules. 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 AI developers community. Whether it is by offering venue spaces, providing food, 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 SF bay and 500K+ worldwide.
Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers