UK AI Agent lab: Gemini Edition
Welcome to UK AI Agent Lab: Gemini & Gemma Edition!
Join us for an exciting gathering brought to you in collaboration with Google DeepMind. This event brings together developers, builders, and AI enthusiasts to explore the cutting edge of frontier multimodal AI and open-weights models.
Schedule:
10:30 – 11:00 am : Registration, check-in, networking
11:00 – 11:05 am : Welcome and Introduction from Organisers
11:05 -11:20 am : Keynote - Frontier Agents with Gemini 3.7 Flash (Amit Vadi, GDM)
11:20–11:40 am : Keynote - On Device AI with Gemma 4 (Ian Ballantyne, GDM)
11:40 - 11:55am : Q&A with Denish KC, AI GTM Lead @ Google
11:55am - 12:20 pm : break
12:20 pm - 12:30 pm : Hackathon briefing, signup and Track announcement.
12:30 pm - 1:30 pm : Hacking officially begins!
1:30 pm –2:30 pm : Lunch (grab food and keep building or network)
2:30 pm – 4:45 pm : Hacking continues with Google DeepMind mentor office hours
5:30 pm : Submissions due (hard deadline)
5:30 pm -6:00 pm : Networking & wrap-up (space closes at 6:00 pm)
Post event : Winners selected by Monday 24th August
(Winners get cash prize, swag and extra credits)
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Speaker Information & Keynotes:
Speaker 1: Amit Vadi
Full Name: Amit Vadi (@vadiamit)
Job Title / Team: Head of Community, Google DeepMind Developer Experience
Bio: Amit Vadi leads developer go-to-market and community enablement for the Gemini API and Google AI Studio at Google DeepMind, driving developer adoption across global startup ecosystems, incubators and accelerators. Prior to DeepMind, Amit spent 9 years leading worldwide product marketing and program initiatives at Apple and 2 years scaling high-growth developer programs and web3 platforms.
Keynote Title: Research to Reality with Google DeepMind
Talk Summary: Overview of the latest updates from the Google's engine room
Speaker 2: Ian Ballantyne (IRB)
Full Name: Ian Ballantyne (@IanBallantyne)
Job Title / Team: Gemma DevX Lead, Google DeepMind Developer Experience
Bio: Ian Ballantyne leads technical developer experience and open-weights enablement for Gemma at Google DeepMind. He focuses on on-device intelligence, parameter-efficient fine-tuning (PEFT/LoRA), and empowering developers to build fast, private, and localized agentic systems with Gemma 4.
Keynote Title: Local-First Intelligence: Architecting On-Device & Specialized Agents with Gemma 4
Talk Summary: Practical patterns for deploying Gemma 4 on local hardware using LiteRT and open runtimes, building privacy-first offline workflows, and leveraging specialized medical/multimodal weights.
Link to WhatsApp group: Join WhatsApp Group