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
5
Bot or Not - Socratic Dialogue Regarding Agents Like Claw
Valley Research Park, 319 North Bernardo Avenue, Mountain View, CA, USDebate starts at 7! Door's open at 6:30.
Bot or Not - Socratic Dialogue Regarding Agents (like Claw)
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:
https://acm-org.zoom.us/
Join via YouTube:
https://youtube.com/@SfbayacmOrg/streamsAGENDA
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:
Patrick Farry and Ronald Petty will lead a Socratic-style dialogue examining Claw and other emerging agentic systems, using live demonstrations to highlight recent advances in agent architectures, orchestration frameworks, and tool-using models. Through questioning, counter-examples, and audience participation, they will explore alignment, incentive design, robustness, misuse, and governance; asking not only what today’s agents can do, but how rapidly evolving capabilities are reshaping expectations and risks. Real-time demos will ground the discussion in current practice rather than theory, while the session aims to keep attendees up to date on the state of the art and engaged in reasoning about trade-offs, safeguards, and the future role of autonomous systems in technical and social domains.
45 attendees
From Prompt Grounding to Edge Delivery: Agentic AI at Scale
Valley Research Park, 319 North Bernardo Avenue, Mountain View, CA, USArchitecting and operating multi-tenant agentic AI platforms with CDN-backed delivery, security, and governance
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:
https://acm-org.zoom.us/
Join via YouTube:
https://youtube.com/@SfbayacmOrg/streamsAGENDA
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
As enterprises adopt Generative AI, the challenge shifts from building isolated models to engineering multi-tenant AI platforms that are secure, grounded, and operationally reliable. This session explores the architecture of prompt-grounded, agentic AI systems that combine prompt engineering, retrieval-based grounding, and tool orchestration with cloud and CDN-based delivery to enable contextual intelligence at scale.
Kumar Kasimala and Venkata Gopi Kolla share design patterns and operational insights from real-world enterprise platforms integrating Prompt Builder frameworks, RAG pipelines, AgentOps, and edge-optimized generative delivery. Attendees will learn how to build scalable, compliant, and high-performance AI systems that operate reliably across cloud and edge environments.
### Keynote Summary
This 90-minute session covers how to build enterprise-grade, multi-tenant AI platforms using prompt grounding, data retrieval, and tool orchestration, combined with CDN and edge-based delivery for low-latency, secure, and scalable AI execution. The talk connects AI reasoning and grounding with real-world platform, security, and delivery concerns, showing how agentic systems can be operated reliably across cloud and edge environments.
### Keynote Takeaways
- Learn how prompt engineering and grounding form the foundation of enterprise agentic AI.
- Explore RAG pipelines, tool orchestration patterns of scalable reasoning & action
- Understand tenant isolation, security, compliance in multi-tenant AI platforms.
- Prominence of Edge in AI evolution: Discover how CDNs and edge networks enable low-latency, secure, and resilient generative AI delivery.
- See practical use cases and live demos of inference running at the Edge.
### Why This Talk Is Different
Most ACM Bay Area talks focus on LLM scaling, agent safety, or model behavior. This session goes deeper into how enterprise AI systems are actually built and operated — connecting prompt grounding, tool orchestration, and edge-native delivery to bridge the gap between model capability and real-world, internet-scale deployment.
Distinctive elements:
- Focus on prompt grounding not just prompt design, to ensure correctness & trust.
- Real-world tool orchestration and AgentOps frameworks for production AI workflows.
Integration of multi-tenant architecture with CDN-backed, edge-optimized AI delivery, enabling low-latency, secure, and scalable inference.
- Balance between platform architecture, engineering implementation, and operational control, from cloud LLMs to edge enforcement.
Speaker Bios:
Kumar Kasimala - Software Engineering Architect, leading the AI Cloud Prompt Builder and Agentic AI Platform. With over 15 years of experience building scalable AI and cloud systems, Kumar has architected key frameworks such as Prompt Templates, Unified Runtime Data Resolution Engine, and Agentforce Integrations. His expertise spans prompt engineering, RAG pipelines, and multi-tenant orchestration frameworks.
https://www.linkedin.com/in/kumarkasimala/Venkata Gopi Kolla - Software Engineer at with 10 years of experience in distributed systems, and large-scale multi-tenant infrastructure, global CDN and edge platforms, where he has led traffic routing, security enforcement, caching, and performance optimization across Akamai, Cloudflare, and CloudFront to deliver reliable, high-throughput enterprise SaaS at internet scale. He is currently focused on edge-optimized delivery and security for generative and agentic AI workloads.
https://www.linkedin.com/in/venkata-gopi-kolla-8265a427/
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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/63 attendees
Giving LLMs a Map: Building Smarter GenAI with GraphRAG
Valley Research Park, 319 North Bernardo Avenue, Mountain View, CA, USTALK LOGISTICS:
Monday, March 23, 2026
(remote speaker, audience can be either in person or remote on Zoom. Please RSVP and indicate if you will be local or remote)6:30 registration, food sponsored by Neo4j, networking. Neo4j contacts will be attending.
7:00 SFbayACM upcoming events, introduce the speaker
7:10 to 8:15 or 8:30 based on Q and A - presentationThe Zoom and YouTube links will be provided here about 2-3 days before the event
SFbayACM will support a local audience at VRP in Mountain View
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TALK DESCRIPTION:
Generative AI is powerful, but without the right data and retrieval strategies, results can quickly break down. This session will explore how GraphRAG combines knowledge graphs with retrieval-augmented generation to deliver more accurate, context-rich AI applications. Through live demos and code, we will walk through building a GenAI solution end to end using Neo4j and Python. Learn how to construct knowledge graphs from unstructured and structured data, make key design decisions around schema and chunking, and implement multiple retrieval strategies—including vector search, vector plus Cypher, and text-to-Cypher approaches. Then, pull all these skills together in a conversational agent built with Neo4j and LangChain. Come to this session and leave with practical techniques for designing knowledge graphs, choosing the right retriever for a use case, and applying GraphRAG patterns you can adapt to your own GenAI projects.A good starting point for code to be discussed is in the examples in: https://github.com/neo4j/neo4j-graphrag-python
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SPEAKER BIO: (presenting remotely)
Jennifer Reif is a Developer Advocate at Neo4j, speaker, and blogger with an MS in CMIS. An avid developer and problem-solver, she has worked with many businesses and projects to organize and make sense of widespread data assets and leverage them for maximum business value. She has expertise in a variety of commercial and open source tools, and she enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively. See also https://www.linkedin.com/in/jmhreif/7 attendees
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