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| PyLadies SF
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| With Senay Yakut (Full-Stack Enggr). |
| LinkedIn Community Space, 222 Second St, San Francisco |
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Mar 26 (Thu) , 2026 @ 05:00 PM
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FREE |
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| DETAILS |
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Tentative Agenda
5:00 pm: Networking
6:00 pm: Welcome & Community Announcements
6:15 pm: From ER Nurse to AI Engineer: Building Real Healthcare AI Systems with RAG & Agents
Speaker:
Senay Yakut, Full-Stack Engineer
Description:
Most AI engineers building healthcare tools have never seen a patient. I have - as an ER nurse in pediatric, cardiac, & internal medicine settings.
In this talk, I'll walk through a real clinical problem I tackled: building an AI-powered clinical decision support system using RAG, GPT-4, & FastAPI. I'll show how retrieval-augmented generation makes healthcare AI safer & more trustworthy - & share what clinical domain knowledge changes about how you design these systems.
The session is practical & code-driven. Attendees will leave with a concrete understanding of how to build healthcare AI that actually works in real clinical contexts - not just in demos.
6:35 pm: AI & Healthcare: Live Demo
Speaker: Mansi Moore, AI Developer & Devrel
Description:
This session will be about how people will use AI in healthcare through examples in a real Google Cloud console environment. It will cover three main areas:
Image Analysis: using Gemini to analyze a chest X-ray & extract medical insights
Video Analysis: prompting Gemini with a lung animation video
Text Prompts: zero/one/few-shot prompting, summarization, Q&A, & classification
7:00 pm: Using PyQGIS for Environmental Projects
7:25 pm: Networking
8:00 pm: End of Event
Interested in sponsoring food? Please send a message to the event host. Thanks!
Senay Yakut is a Full-Stack Engineer building AI-powered healthcare applications. A former ER nurse with experience in pediatric, cardiac, & internal medicine settings, she combines firsthand clinical insight with modern AI engineering - LLMs, RAG, & agent-based architectures - to build systems that solve real medical problems.
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