Skip to content

Details

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

---

Speaker

Hemanth HM - PayPal (GDE, Sr. Staff Software Engineering Manager)

AI enthusiast.
Computer polyglot, FOSS philospher! 🤓Loves The WEB && CLI.Ambidextrous, native Bangalorean!Currently living in CA.Blog's about programming.FOSS on GitHub.Authored 300+ node modules with 22M downloads a month!Google Developer Expert for Web && Payments.TC39 delegate, working on JavaScript feature pr…

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/.

You may also like