PyLadies San Francisco @ LinkedIn

This event will feature networking, snacks, exciting talks!

Tentative Agenda:
5:00: Networking
5:50: Welcome + Community Announcements
6:00: Survey-to-strategy with AI

• Speaker: Monica Abrams, Founder of AI Snack Club
• Bio: Monica Abrams is the founder of AI Snack Club, a community where professional women learn AI together through bite-sized prompts and real results. With 8 years of consulting at Accenture and a background hosting executive panels with AI leaders from OpenAI, Anthropic, and Reddit, Monica bridges the gap between what's happening in Silicon Valley and what's actually useful for your day-to-day work. She holds a BA in Mathematics from Georgetown University and lives in Berkeley, CA with her husband and their one-eyed corgi, Frida.
• Description: In this session, I'll show how I used Claude to turn 300 raw survey responses into audience personas, strategic decisions, and an implementation plan. You'll see how to use AI to find patterns in messy data, pressure-test your thinking, and plug insights into tools like Gamma and Zapier to create real deliverables.

6:25: PyQGIS for Environment and Climate Projects

• Speaker: Manisha Priyadarshini, Interim Executive Director of ProgramEarth

6:50: Reduce AI Agents Costs and Mistakes with Semantic tool Selection

• Speaker: Elizabeth Fuentes Leone, Developer Advocate at AWS
• Bio: Elizabeth Fuentes is a mother of two, an AWS Developer Advocate, and a passionate advocate for making AI accessible to everyone. Her mission is to empower developers—especially those from underrepresented communities—to grow their careers by mastering AI with Python. She breaks down complex concepts into clear, actionable knowledge and production-ready code that anyone can apply immediately. Through hands-on tutorials, open-source projects, and live demos, Elizabeth helps developers build both technical skills and confidence—creating real-world solutions from RAG systems and agentic workflows to multimodal applications. When she's not coding or creating content, she's cheering on her daughters and proving that you can be a mom, a technologist, and a community builder all at once.
• Description: AI agents with many tools face a dual problem: they pick the wrong tool and waste tokens because tool descriptions get serialized into the context on every call. As agents scale to 50+ tools, errors increase and costs explode. Semantic tool selection filters tools before they reach the LLM context using vector search, reducing errors and token costs. Join me as I build a live travel agent demo showing how to implement this with minimal Python code and production patterns for multi-turn conversations.

7:30: Community Announcements + Closing Thoughts
7:35: Networking
8:00: End of event

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Interested in sponsoring food, speaking, or volunteering? Please send a message to the event host. Thanks!