AI Engineers Tech Talk: LLM Learning Patterns

​Join us for the May edition of the San Francisco AI Engineers Tech Talk, a gathering focused exclusively on AI engineering. Whether you’re a seasoned machine learning engineer or a fullstack dev curious about how to work with LLMs, this is your space to dive deep into real-world projects, technical challenges, and creative solutions.

​​What to Expect:

​​We invite AI engineers to share something they’ve built, the challenges they faced, and how they solved them. It’s all substance, no fluff, designed for engineers by engineers.

​​This Month’s Presenters:

• ​Shahram Anver, Co-Founder & CEO @ Cleric

  • ​​Building AI Agents That Actually Learn (Not Just Execute)
    Most AI agents today operate in isolation, handling each incident from scratch with no memory or improvement over time. Inside how Cleric is building an autonomous AI SRE that retains and applies past learnings through operational memory and feedback loops, and the challenges of keeping that knowledge relevant in production.

• ​​Ronnie Kwesi Coleman, Founder & CEO @ Puntt

  • ​​Rewriting Compliance with AI Agents
    Building LLM-powered agents that automate compliance workflows in regulated industries, cutting review cycles from months to days while handling complex, multi-jurisdictional regulations, mitigating hallucinations, and designing systems where accuracy is critical.

• ​Feifan Zhou, Cofounder & CEO, Tanagram

  • ​What Claude and Cursor Transcripts Reveal About How Engineers Build
    A look at how teams are analyzing Claude and Cursor chat transcripts to uncover real engineering workflow patterns. This talk explores what those transcripts reveal about how engineers debug, iterate, and solve problems with AI tools in practice. A practical view into how AI-native development workflows are evolving.

​​The Crowd:

​​You’ll be joining a mix of software developers, data scientists, AI engineers, and technical founders working at or curious about the future of applying AI at the application layer. It’s a casual, high-signal environment perfect for learning something new and meeting peers in the SF AI Engineering scene.

​​Agenda:

• ​​6:00 to 6:45 PM – Networking with pizza, beer, & wine courtesy of Fonzi AI

• ​​6:45 to 6:50 PM – Opening remarks

• ​​6:50 to 7:35 PM – Three 10 minutes Tech Talks with 5 minute Q&A

• ​​7:35 to 8:00 PM – Meet the speakers and connect with other attendees

​​About the host:
Fonzi is a recruiting platform focused exclusively on product and AI engineering hires in NYC and SF. We work with 75+ open roles across the best startups in the city.

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