Thu, Aug 27 ยท 4:00 PM PDT
How do you build an AI application that users can actually trust? In this virtual GDG workshop, you will build a trustable AI prototype that streams telemetry from a virtual race car, reshapes raw data for Google Gemini, and applies guardrails and safety rules to deliver grounded coaching feedback. By the end of this session, you will understand the purpose of a modular AI architecture, know how to prepare structured data for LLMs, and see how these real-time AI patterns apply to high-stakes industries like logistics, healthcare, and manufacturing.
Agenda
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Speaker
Hemanth HM - PayPal (GDE, Sr. Staff Software Engineering Manager)
AI enthusiast.
Hosted By
Deepa Subramanian, Organizer
Engineering Leader
Lourdes Lopez, Developer
Lourdes Lopez is an experienced software engineer and data analyst with over a decade of expertise in the healthcare and higher education sectors. Currently serving as a business intelligence analyst, Lourdes is passionate about using data to drive meaningful insights and decision-making. As a Women Techmaker Ambassador and Google Developer Groups Lead, she is dedicated to inspiring and empowering other women to pursue careers in technology.
Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-san-jose-presents-building-trustable-ai-at-100-mph-hands-on-codelab/.
