AI Engineering
Designed for practitioners building AI systems and applications in production this track explores novel architectures and system designs, from innovative approaches to RAG and agent pipelines to real-world case studies backed by production metrics.
AI Engineering (Day 1 Midday)
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Evaluation Precedes Evolution: Rubrics as the Load-Bearing Infrastructure of Self-Improving Agents Tanya Dixit Forward Deployed Engineer Google
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Beyond Forgetful Bots: Architectural Patterns for Persistent, Proactive Claw-Style AI Agents Navan Tirupathi CTO , Architecture and AI Expert Arivminds
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Shipping Sandboxed Workers for Notion Agents Adam Hudson Software Engineer Notion
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Close your agentic loop Moss Ebeling Head of AI Engineering Optiver Asia Pacific
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How Many Agents Are Too Many? The Hidden Cost of Multi-Agent Systems Anannya Roy Chowdhury GenAI Developer Advocate AWS
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Kill the God Agent Adesh Gairola Co-founder & CTO raxIT Labs
AI Engineering (Day 1 Afternoon)
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Agent Observability: Monitoring and Understanding Agents at Internet Scale
Daniel Nadasi Principal Engineer Google
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Our AI Hallucinated in Production: How We Fixed It With Evals
Yicheng Guo Senior Machine Learning Engineer REA Group
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The Application Layer Is the New Research Lab
Abdul Karim Applied AI Scientist
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Orbital Lasers vs For Loops: Economically Matching Models to Tasks
Stephen Sennett AWS Community Hero & Lead Consultant at V2 AI V2 AI
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Your AI Can’t Engineer (Yet)
Theodoros Galanos Generative AI Leader Aurecon
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Flue: The Agent Harness Framework
Michael Hart Senior Principal Engineer Cloudflare
AI Engineering (Day 2 Midday)
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Deploying AI at the Edge: Model Compression and Hardware-Aware Optimization
Shivay Lamba Senior AI/ML Engineer Qualcomm
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When a Small Language Model Beat Our LLM in Production
Avni Bhatt Sr Enterprise Architect
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Multi-Model Collaboration with Claude Code: How to Measure What Actually Works
Jack Rudenko CTO MadAppGang
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Edge AI with Direct Device Control
Jeremy Kelaher AI Enablement Architect SBS
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COBOL and AI: Building a Self-Serve Knowledge Layer for 2,000 Batch Jobs
Matthew Gillard Principal V2 AI
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Legacy Software + Agentic Discovery
Chris Rickard Founder & CEO Userdoc
AI Engineering (Day 2 Afternoon)
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Why LLMs Fall for Stories (And 5 Production Patterns That Actually Stop Them)
Mal Curtis Principal Software Engineer NVIDIA
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Hacking the Model: AI Red Teaming in Practice
Pas Apicella Field CTO Snyk APJ
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Why Most AI De-Identification Fails in Production, And How We Built One Lawyers Actually Trust
Moin Zaman Co-founder Smartnote
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Are Your AI Agents Secure? Defending the Privileged Agent
Daizen Ikehara Principal Developer Advocate Auth0
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Your Agents Pass Every Benchmark—Then Memory Breaks Them in Production
Ananya Roy AI Architect Databricks
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AI Agents Are Distributed Systems
Lovee Jain Senior Software Engineer | Google Developer Expert | AWS Community Builder