What we’re about
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
4
•OnlineFrom Static Pipelines to Co-Evolving AI: Building Adaptive Vision Systems
OnlineFrom Static Pipelines to Co-Evolving AI: Building Vision Systems That Adapt in Real Time -by Gowdhaman Sadhasivam
Virtual event on Zoom and YouTube
If you want to join discussion remotely, you can submit questions via Zoom Q&A. The zoom link:
https://acm-org.zoom.us/j
Join via YouTube:
https://youtube.com/live/AGENDA
6:30 pre-sign in to test and chat
7:00 SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 - 8:30 finish, depending on Q&AJoin SF Bay ACM Chapter for an insightful discussion in person at VRP (limited to 15 seats only from 8:30-9:30pm, query email: Lianaye2 at gmail.com, Subject title "PeaceNames" ) on potential owner meeting of a distributed could after the presentation on:
Talk Description:
For decades, computer vision has been built on rigid, sequential pipelines: data is collected, labeled, modeled, deployed, and optimized in isolation. This paradigm worked in controlled environments but falters in today’s world, where complexity, edge cases, and shifting domains evolve faster than traditional workflows can adapt. In this talk, I’ll share a vision for co-evolving AI systems where models, data, and feedback loops are not static stages but living components that grow together. In a co-evolving workflow, data engineering, model training, and product integration happen in parallel, continuously informed by real-world signals. The result: faster iteration cycles, more resilient models, and dramatically lower costs.We’ll explore how to harness foundational models, LLMs, and methods like active learning, self-supervised, few-shot, and zero-shot to minimize dependence on ground truth data, design pipelines that capture edge cases before they become failures, and treat production feedback as a real-time engine of evolution rather than a post-deployment patch. This is not just a technical shift, it’s a blueprint for the future of AI infrastructure: systems that adapt as quickly as the world they seek to understand.
What audience will learn: Learn how to move beyond static pipelines and build AI systems that continuously adapt to real-world signals. Discover practical ways to minimize labeled data needs, capture edge cases early, and turn production feedback into a real-time driver of system evolution.
Speaker bio:
Gowdhaman Sadhasivam is an award-winning AI leader and Co-Founder & CTO of Labelbees AI, where he builds intelligent infrastructure for real-world, multimodal AI systems. With over 12 years of experience in defense, insurance, and geospatial intelligence, he has led teams in delivering production-grade machine learning systems for Fortune 500 enterprises and U.S. national agencies.At Orbital Insight, he led AI engineering efforts on multimodal SAR, EO, and AIS fusion systems, contributing to the company’s eventual acquisition by Privateer Space. At EMC Insurance, he transformed legacy operations into AI-driven systems, earning national innovation awards from NAMIC, Plug and Play, and Wolfram Research. He also received the USGIF Golden Ticket Award for his impact on geospatial AI.
A frequent global speaker, mentor, and advisor, Gowdhaman brings field-tested insight into MLOps, GenAI, and enterprise AI adoption, helping organizations move from prototypes to scalable, trusted AI in production.
https://www.linkedin.com/in/gsadhas/---
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/23 attendees
Designing for Scale, Reliability, and Resiliency: Real-World Lessons
Valley Research Park , 319 North Bernardo Avenue, Mountain View, CA, USDesigning for Scale, Reliability, and Resiliency: Real-World Lessons from Building High-Throughput Systems
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/j/94270873151?pwd=DFGIb9xhn5GPv8iJD9Bxt1Ya2qJHmN.1
Join via YouTube:
https://youtube.com/live/AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 - 8:30 finish, depending on Q&AJoin SF Bay ACM Chapter for an insightful discussion on:
Talk Description:
As modern software systems grow in complexity and scale, the demand for architectures that are not just fast—but also reliable, resilient, observable, and auditable—has never been greater. In this talk, we'll dive into practical strategies and real-world patterns for designing and operating large-scale distributed systems.
Topics include:- Traffic segmentation and routing strategies across multi-cluster environments
- Patterns for achieving high availability and failover across global infrastructure
- Monitoring and observability at scale: what to measure, how to alert
- Auditing for compliance, trust, and debugging
- Common failure modes and how to build for graceful degradation
- Real examples from mission-critical production systems
Attendees will walk away with architectural insights, tools, and mental models to apply to their own systems, whether working in startups or enterprises.
***
Speaker Bio:
I’m a Senior Software Engineer at DoorDash and previously led platform initiatives at Conviva, where I built scalable, fault-tolerant systems handling tens of millions of sessions daily for customers like Disney, HBO, and Sky. My work has spanned everything from routing frameworks and disaster recovery to monitoring pipelines and SLA enforcement. I’m passionate about making infrastructure reliable and maintainable, and I enjoy sharing lessons learned from real-world systems.
https://www.linkedin.com/in/karanluniya---
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/201 attendees
Taming Tech Debt for Platform Reliability
Valley Research Park , 319 North Bernardo Avenue, Mountain View, CA, USLOCATION 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/j
Join via YouTube:
https://youtube.com/live/AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 - 8:30 finish, depending on Q&AJoin SF Bay ACM Chapter for an insightful discussion on:
Talk Description:
Site Reliability Engineering (SRE) at Google is a job function, mindset, and set of engineering practices focused on ensuring the reliability, scalability, and efficiency of production systems. The term is created in the early 2000s.
This talk aims to reframe the conversation around technical debt. Rather than viewing it as a mere backlog of chores, I will present a methodical framework for identifying and prioritizing it as a strategic opportunity. Drawing from my experiences at various companies, including Google, I will share practical insights on how to transform tech debt from an impedance to a catalyst for organizational velocity. I will also discuss how to apply SRE principles to measure the reliability of infrastructure as we tackle technical debt and will be sharing a few anecdotes and practical methods to address this interesting problem with engineering and automation.
Speaker Bio:
Saurabh Phaltane is a Senior Site Reliability Engineer at Google, where he focuses on designing and optimizing web-scale infrastructures for resilience and high performance. With over a decade of experience in SRE and distributed systems, Saurabh specializes in building reliable systems through robust infrastructure automation, comprehensive observability, and scalable automation. Prior to his work at Google, Saurabh gained valuable experience as an SRE at Okta. He is also a thought leader in SRE and cloud technologies, a mentor for startup entrepreneurs through the Google for Startups program, and a frequent speaker on the topic of foundational thinking for scalable and reliable system infrastructure.https://www.linkedin.com/in/karanluniya
---
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/26 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
387
Group links
Organizers
Members
13,586
