Speakers
Patrick Löber
Member of Technical Staff, Google DeepMind
Member of Technical Staff at Google DeepMind, building production-grade AI agents with Gemini.
Building Agents with Gemini
A practical deep dive into building production-grade agents with Gemini. This session breaks down core architectural design patterns, exploring agentic capabilities, managing complex execution loops, and handling real-world orchestration challenges.
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Sasha Denisov
CTO, Brainform.ai
CTO at Brainform.ai with 20+ years of experience architecting scalable enterprise systems. Google Developer Expert for Cloud, AI, Firebase, Flutter, and Dart. International speaker at 30+ conferences worldwide.
Building Voice AI Agent That Listens, Understands, and (Most Importantly) Sells
Voice commerce is moving beyond chatbots. Google's Multimodal Live API enables 600ms-latency real-time conversations with native audio, multimodal understanding, and natural interruptions via WebSocket streaming. We built an AI shopping assistant that combines Live API with RAG — accessing product catalogs and knowledge bases in real-time through function calling to guide customers through purchases by voice. This talk covers our journey from prototype to production: WebSocket architecture, RAG pipeline design, function calling patterns, and handling edge cases.
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Yusef Mohamadi
Software Engineer, Delivery Hero
Software engineer with a Master's in AI, combining both to build intelligent operational systems. Currently at Delivery Hero, driving speed and efficiency with AI orchestration at scale.
Agentic Operations: Driving Speed and Efficiency with AI Orchestration
Traditional automation is no longer enough to keep pace. The future belongs to agentic operations — and we have proved it works. In this session, we share how Delivery Hero successfully transitioned from static workflows to dynamic, AI-driven orchestration, achieving extraordinary operational results. Discover how autonomous AI agents can seamlessly coordinate tasks, make real-time decisions, and eliminate bottlenecks at scale.
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Anthony Alaribe
Founder, Monoscope
Founder of Monoscope, building tools that make software operations more autonomous and reliable.
Runbooks That Think: Executable Checklists with AI in the Loop
Operational runbooks are static documents that demand constant human attention. What if they could reason, adapt, and execute autonomously? This talk explores how to turn passive checklists into dynamic, AI-driven workflows — covering the architecture, the failure modes, and the practical patterns for keeping humans in the loop when it actually matters.
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Adi Schacham-Shavit
Director of Engineering, Platform, Enpal
Engineering leader at Enpal, one of Europe's largest clean energy scaleups, where he built the company's agentic AI strategy from scratch. Focused on reimagining the software delivery lifecycle for an AI-native engineering organization.
Reimagining the SDLC: How Enpal Built Its Agentic AI Strategy from Scratch
When AI started reshaping software delivery, Enpal — one of Europe's largest clean energy scaleups — found no peer playbook to follow. So they built their own. Agentic AI is the next abstraction layer, and it demands reimagining the entire SDLC from the ground up — including a world where venture developers entirely outside the tech org deploy code to production. Walk away with a concrete decision-making framework covering the structural choices every engineering org needs to address when building their own agentic AI plan.
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