About us
This Meetup group supports the SF Bay ACM Chapter. You can join the actual SF Bay Chapter by coming to a meeting - most meetings are free, and our membership is only $20/year !
The chapter has both educational and scientific purposes:
- the science, design, development, construction, languages, management and applications of modern computing.
- communication between persons interested in computing.
- cooperation with other professional groups
Our official bylaws will be available soon at the About Us page on our web site. See below for out Code of Conduct.
Videos of past meetings can be found at http://www.youtube.com/user/sfbayacm
Official web site of SF Bay ACM:
http://www.sfbayacm.org/
Click here to Join or Renew
Article IX: Code of Conduct - from the ACM Professional Chapter Code of Conduct
Harassment or hostile behavior is unwelcome, including speech that intimidates,creates discomfort, or interferes with a person’s participation or opportunity for participation, in a Chapter meeting or Chapter event.Harassment in any form, including but not limited to harassment based on alienage or citizenship, age, color, creed, disability, marital status, military status, national origin, pregnancy, childbirth- and pregnancy-related medical conditions, race, religion, sex, gender,veteran status, sexual orientation or any other status protected by laws in which the Chapter meeting or Chapter event is being held, will not be tolerated. Harassment includes the use of abusive or degrading language, intimidation, stalking, harassing photography or recording,inappropriate physical contact, sexual imagery and unwelcome sexualattention. A response that the participant was “just joking,” or “teasing,”or being “playful,” will not be accepted.2. Anyone witnessing or subject to unacceptable behavior should notify a chapter officer or ACM Headquarters.3. Individuals violating these standards may be sanctioned or excluded from further participation at the discretion of the Chapter officers or responsible committee members.
Upcoming events
3
Multi-Agent Systems at Scale as a Shared Platform for the enterprises
Valley Research Park, 319 North Bernardo Avenue, Mountain View, CA, USAI Agent Infrastructure as a Shared Platform: Patterns for Multi-Agent Systems at Scale for the enterprise.
LOCATION ADDRESS (Hybrid, in person or by zoom, you choose)
Valley Research Park
319 North Bernardo Avenue
Mountain View, CA CA 93043
Don't use the front door. When facing the front door, turn right along the front of the building. Turn left around the building corner. The 2nd door should be open and have a banner and event registration.If you want to join remotely, you can submit questions via Zoom Q&A. The zoom link:
Zoom (updated 6:55 pm)
Join via YouTube:
https://www.youtube.com/watch?v=pO72Hb30fKwAGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 Part 1: Enterprise Prompt Engineering: Grounding, RAG Pipelines, and Tool-Driven Agents
7:55 Part 2: AI Delivery and Control at the Edge
8:30 - 8:45 finish, depending on Q&AJoin SF Bay ACM Chapter for an insightful discussion on:
### Abstract & Overview
An agent is simple: Prompt + Tools + Model + Boilerplate. The first three are where product teams create value. The last one—state management, history compression, streaming, cancellation, tracing, memory, persistence—is 80% of the code but 0% of the differentiation.
At ThoughtSpot, we built an Agent Platform that draws a hard line between agent logic and agent infrastructure, letting product teams ship customer-facing agents faster by owning only what matters: their prompts and their tools.
This talk covers the infrastructure patterns behind that separation:
State management across tool calls. Stateless tools (state on the agent, passed as arguments) give you testability and let the LLM reason about state. Stateful tools (state in the tool service) avoid serialization overhead. I'll walk through flow diagrams, show how we propagate state via tool response metadata, and discuss when each pattern fits.
Configuration-driven agent definitions. Agents defined entirely through config—templated prompts, tool endpoints, sub-agent rules, compression strategies. Teams ship agents without writing orchestration code.
Inter-agent communication. Two patterns: agents-as-tools (sub-agent called like any tool, returns structured output) and agent handoff (full conversation transfer). The platform handles routing and context—teams just declare delegation rules.
Shared memory across agents. Memory in the platform, not individual agents, means knowledge accumulates across agent boundaries. Tiered scoping (tenant, org, user) with retrieval that surfaces relevant context regardless of which agent captured it.
Tool protocol design. MCP as the base, with patterns layered on top: cancellation semantics, progress streaming, context variable propagation, and adapters for existing services.
Building for customer-facing scale adds constraints—high concurrency, encryption, tenant isolation, auditability—that shaped our API design throughout.
Takeaways:- Mental model for separating agent value from infrastructure
- State patterns: agent-side vs. tool-side tradeoffs
- Inter-agent communication: tools vs. handoff
- Shared memory architecture across agent boundaries
- MCP extensions for production systems.
Speaker Bio
Ashish Shubham is Fellow/Vice President of Engineering at ThoughtSpot, where he leads the architecture of enterprise-scale AI and embedded analytics platforms used by Fortune 500 organizations. He is the author of Architecting AI Data Systems and an inventor on multiple U.S. patents in natural-language-to-SQL, generative AI interfaces, and intelligent analytics. Ashish is an IEEE Senior Member and an active reviewer and committee contributor for leading IEEE and ACM conferences and workshops. His work bridges academic research and real-world deployment, with a focus on building scalable, trustworthy, and developer-centric AI systems for production environments.
https://linkedin.com/in/ashubham---
Valley Research Park is a coworking research campus of 104,000 square feet hosting 60+ life science and technology companies. VRP has over 100 dry labs, wet labs, and high power labs sized from 125-15,000 square feet. VRP manages all of the traditional office elements: break rooms, conference rooms, outdoor dining spaces, and recreational spaces.As a plug-and-play lab space, once companies have secured their next milestone and are ready to expand, VRP has 100+ labs ready to expand into.
https://www.valleyresearchpark.com/5 attendees
![[CALL FOR SPEAKERS for: General Computing, Data & Life Sciences]](https://secure.meetupstatic.com/photos/event/8/2/9/7/highres_475953431.jpeg)
Past events
400
Group links
Members
13,221
