2025 New Year January Meetup
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Join us for our January AI Tinkerers meetup in Austin, sponsored by Kamiwaza AI, where we’ll showcase the latest innovations and experiments from our community of active builders and practitioners in AI and large language models (LLMs).

Date: Thursday, January 16th, 2025
Time: 6:00 PM - 8:00 PM
Location: Capital Factory, Omni Hotel, Downtown Austin, TX
Event Highlights
- Community Demos: Witness cutting-edge AI projects and experiments from fellow Tinkerers
- Networking: Connect with like-minded AI practitioners and builders
- Technical Discussions: Dive deep into the challenges and solutions in AI development
⬆️ Space is very limited for this hands-on session. Please register now! ⬆️
Who Should Attend?
This meetup is exclusively for practitioners who are actively building and working with foundation models, such as LLMs and generative AI. If you’re deeply passionate about creating LLM-enabled applications and have hands-on experience in building such systems, this event is for you.
Remember, AI Tinkerers is not for those looking to enter the field, individuals seeking to market their services, or investors aiming to connect with prospective founders. We maintain a strong focus on active builders to foster an environment of trust, transparency, and cooperation.
Demo Submissions
Interested in showcasing your work? We’re looking for technical demonstrations of novel and interesting projects you’ve built. Your demo should be around 5 minutes long and dive straight into the technical aspects of your project. No pitches or slides - just pure, hands-on demonstrations of your work.
To apply for a demo slot, please register for the event and then submit your proposal through the demo submission form.
👑 Sponsor
Kamiwaza AI - Deploy private GenAI anywhere your data lives with Kamiwaza’s Enterprise GenAI Engine. Whether you’re experimenting locally or scaling to production across cloud, core, and edge, Kamiwaza’s location-aware inference mesh processes data in place - no movement required. Get started instantly with our Community Edition! Learn More of check out our Discord
- For Builders: One pip install gets you model management, RAG tools, and local inference setup
- Scale with Confidence: Built on open source, production-ready from day one
- Join the Community: Connect with builders targeting 1T inferences/day on Discord

⬆️ Space is very limited for this hands-on session. Please register now! ⬆️
Event Stats
This community of 891 technical professionals features a high concentration of AI and machine learning expertise, with 82% specializing in LLMs and RAG. The membership includes senior leaders from Google DeepMind, Tesla, and Amazon. Notable for its focus on agentic workflows and autonomous systems, the group bridges the gap between theoretical research and production-grade AI deployment. AI leaders and engineers from tech giants like Google, Amazon, Microsoft, and Nvidia, alongside teams from xAI, Adobe, Databricks, and Tesla, and emerging startups including Torc Robotics, Comet, ClosedLoop.ai, Loman AI, and more. 43 demos have been submitted and 40 have been presented. The most exciting themes have focused on agentic AI for real workflows, RAG/hybrid search for production-grade retrieval, and LLM engineering practices like eval/optimization, orchestration cost controls, and scalable LMOps. Highlights include Russell Sadrieff’s AI PM workflow, Julian Ghadially’s DSPy optimization experiments, J. Michael Rozmus’s Bedrock RAG chatbot, and Michael Samon’s legislative monitoring system.
Testimonials from Previous Meetups
Showcase of Previous Demos

RSVP with the form above Now!
Spaces are limited and we curate attendees to ensure a high-quality experience for all. Make sure to fill out your profile with detailed information and include all your social profile links to help you stand out to the organizers.
Remember, AI Tinkerers is all about active collaboration, experimentation, and pushing the boundaries of what’s possible with AI and LLMs. We look forward to seeing you and your groundbreaking work!