Speakers1 - 10 of 10
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Sessions (1)
- Evaluation harnesses for production LLMs
Monday, October 12: 10:00 AM - 10:45 AM · Workshop Room
AI Engineering
- Evaluation harnesses for production LLMs
Noah is CTO at Fathom Robotics, where inference cost is a line item the board reads every month. He previously built pricing systems at a payments company.
Sessions (1)
- Closing panel: what we got wrong about agents
Tuesday, October 13: 04:00 PM - 05:00 PM · Main Stage
Product
- Closing panel: what we got wrong about agents
Rafael helps enterprise teams take AI prototypes into production, which mostly means helping them delete things.
Sessions (1)
- What users actually do with your AI feature
Tuesday, October 13: 09:30 AM - 10:30 AM · Main Stage
Product
- What users actually do with your AI feature
Sessions (1)
- Serving four hundred models on one GPU fleet
Monday, October 12: 11:15 AM - 12:00 PM · Main Stage
Infrastructure
- Serving four hundred models on one GPU fleet
Hana works on calibration and abstention — teaching models to recognise the edge of their own competence. She publishes regularly and reviews for three conferences.
Sessions (1)
- Evaluation harnesses for production LLMs
Monday, October 12: 10:00 AM - 10:45 AM · Workshop Room
AI Engineering
- Evaluation harnesses for production LLMs
Sofia was the first engineer at Vantage Labs and now leads their agent runtime. She is unreasonably interested in what happens when a tool call fails halfway through.
Sessions (1)
- Building reliable agents: a practitioner's playbook
Monday, October 12: 10:00 AM - 11:00 AM · Main Stage
AI Engineering
- Building reliable agents: a practitioner's playbook
Ava leads the evaluation platform at Lumen AI, where she is responsible for making sure model changes ship without quietly regressing customer-facing quality. She spent six years in search relevance before moving to LLM systems.
Sessions (2)
- Building reliable agents: a practitioner's playbook
Monday, October 12: 10:00 AM - 11:00 AM · Main Stage
AI Engineering - Closing panel: what we got wrong about agents
Tuesday, October 13: 04:00 PM - 05:00 PM · Main Stage
Product
- Building reliable agents: a practitioner's playbook
Daniel builds clinical decision-support systems at Meridian Health, in a regulatory environment where 'we will fix it in the next deploy' is not an option.
Sessions (1)
- Closing panel: what we got wrong about agents
Tuesday, October 13: 04:00 PM - 05:00 PM · Main Stage
Product
- Closing panel: what we got wrong about agents
Elena has shipped AI features to two million users and has the support tickets to prove it. She is interested in the gap between demo behaviour and daily behaviour.
Sessions (1)
- What users actually do with your AI feature
Tuesday, October 13: 09:30 AM - 10:30 AM · Main Stage
Product
- What users actually do with your AI feature
Priya runs the platform organisation at Cobalt Systems, covering everything from developer experience to the inference fleet. She has been a programme chair three times and still enjoys it.
Sessions (1)
- Opening keynote: the year AI engineering grew up
Monday, October 12: 09:00 AM - 09:45 AM · Main Stage
AI Engineering
- Opening keynote: the year AI engineering grew up