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Join ACM Austin + IEEE for our November tech meetup—an evening of deep technical insights, meaningful conversations, and community connection. This joint event brings together engineers, researchers, students, and technology leaders from across Austin to explore the evolving landscape of AI, cloud-native systems, security, identity, and modern infrastructure engineering.

Join us on Monday, Nov 9, 2026, from 6:00 PM to 8:00 PM CST at The Center for Government and Civic Service, 1218 West Ave, Building 3000, Austin, TX 78701.

This meetup will feature a series of community-driven talks focused on real-world applications and forward-looking innovations across:

*AI and GenAI platforms

  • Cloud-native and scalable infrastructure
    *DevOps and platform engineering
  • Security and identity in modern systems

Each session is designed to share practical lessons, architectural insights, and emerging trends shaping today’s technology ecosystem.

Special Talks:

TBD

. Whether you’re an industry professional, researcher, student, founder, or technology enthusiast, this event offers a valuable opportunity to learn from experienced practitioners, exchange ideas, and expand your network within the ACM and IEEE communities. Expect thoughtful discussions, practical takeaways, and meaningful connecti

[s. https://local.acm.org/acm-aus](https://local.acm.org/acm-austin/)

n/ Call for Speakers We are actively accepting tech talk proposals for upcoming ACM Austin + IEEE meetups. If you’re interested in presenting your work or sharing your insights, submit your proposal via Sessionize he[re: https://sessionize.com/austin-acm-mee](https://sessionize.com/austin-acm-meetup/)
up/ Looking forward to seeing you th

e. Please follow us on LinkedIn for more updat[es: https://www.linkedin.com/company/acm-aus](https://www.linkedin.com/company/acm-austin/)

n/ Chair & Organizer, Akshay Mittal, [PhD https://www.linkedin.com/in/akshaymittal](https://www.linkedin.com/in/akshaymittal143/)

Related topics

Events in Austin, TX
Artificial Intelligence
Machine Learning
High Scalability Computing
Software Architecture
Computing

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