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June 3June 4
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AI Engineering
  1. 12:00–12:18
    Deploying AI at the Edge: Model Compression and Hardware-Aware Optimization
    Shivay Lamba
  2. 12:20–12:38
    When a Small Language Model Beat Our LLM in Production
    Avni Bhatt
  3. 12:40–12:58
    Multi-Model Collaboration with Claude Code: How to Measure What Actually Works
    Jack Rudenko
  4. 13:00–13:18
    Edge AI with Direct Device Control
    Jeremy Kelaher
  5. 13:20–13:38
    COBOL and AI: Building a Self-Serve Knowledge Layer for 2,000 Batch Jobs
    Matthew Gillard
  6. 13:40–13:58
    Legacy Software + Agentic Discovery
    Chris Rickard
  7. 15:00–15:18
    Why LLMs Fall for Stories (And 5 Production Patterns That Actually Stop Them)
    Mal Curtis
  8. 15:20–15:38
    Hacking the Model: AI Red Teaming in Practice
    Pas Apicella
  9. 15:40–15:58
    Why Most AI De-Identification Fails in Production, And How We Built One Lawyers Actually Trust
    Moin Zaman
  10. 16:00–16:18
    Are Your AI Agents Secure? Defending the Privileged Agent
    Daizen Ikehara
  11. 16:20–16:38
    Your Agents Pass Every Benchmark—Then Memory Breaks Them in Production
    Ananya Roy
  12. 16:40–16:58
    AI Agents Are Distributed Systems
    Lovee Jain