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 (3)
See all- Designing for Scale, Reliability, and Resiliency: Real-World LessonsValley Research Park , Mountain View, CA
Designing 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
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/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/ - When Bias Goes Viral: Protecting Your Brand from Biases in Generative AIValley Research Park , Mountain View, CA
## Details
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/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&A
Abstract:
Bias in generative AI is no longer an academic concern, it’s a real-world risk to brand trust, product integrity, and social responsibility. This session presents the BEATS framework, a statistically rigorous evaluation methodology, designed to uncover and assess latent biases in LLM outputs and a AI governance framework to proactively identify and mitigate risky AI generated outputs. This is inspired by my recently published research titled “BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models” (arXiv:2503.24310).
Attendees will gain insights into:- Detecting and quantifying bias across demographic and contextual dimensions
- Evaluating fairness and ethical alignment in model responses
- Embedding bias monitoring and ethical guardrails throughout the AI lifecycle
- Implementing governance strategies for risk mitigation, compliance, and responsible AI deployment
This session will deliver practical, research informed strategies to help organizations future-proof their AI systems while preserving fairness, equity, and brand integrity.
Intended Audience:
AI practitioners, ML engineers, Product Managers, Data Scientists, compliance officers, product marketing managers, business executives and anyone involved in building or managing GenAI LLM powered applications.Bio for Alok Abhishek:
Alok Abhishek is a product leader with 15+ years of experience driving innovation at the intersection of AI, data, and enterprise SaaS. He specializes in building and scaling zero-to-one products, establishing product-market fit, and accelerating early-stage growth for data- and AI-driven solutions in global B2B markets. Alok is also a respected independent researcher and contributor to leading publications, including MIT Science Policy Review, IEEE Computer Society Tech News, DATAVERSITY, and TechStrong.ai, where he writes on topics such as AI-first product strategy, building data products, and user-centric innovation.
LinkedIn: https://www.linkedin.com/in/alokabhishek/Bio for Tushar Bandopadhyay:
Tushar Bandopadhyay is the Founder and CEO of KronML, a trusted AI platform for enterprises. With over 25 years of deep industry experience in driving technological breakthroughs, he has led the incubation, design, and development of planet-scale distributed data storage, security, and AI systems. A recognized technology leader and independent researcher, Tushar holds multiple patents in data infrastructure and applied AI and has a proven track record of turning innovative ideas into transformative enterprise products.
LinkedIn: https://www.linkedin.com/in/tbandopadhyay/
![[CALL FOR SPEAKERS for: General Computing, Data & Life Sciences] cover photo](https://secure.meetupstatic.com/photos/event/8/2/9/7/event_475953431.webp "[CALL FOR SPEAKERS for: General Computing, Data & Life Sciences]")
