Evaluating AI Agents
Hosted by Amir Feizpour and Samuel Dion-Girardeau
Fri, Oct 3, 2025
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
By continuing, you agree to Maven's Terms and Privacy Policy.
Go deeper with a course
Fri, Oct 3, 2025
4:00 PM UTC (45 minutes)
Virtual (Zoom)
Free to join
Go deeper with a course
What you'll learn
Measuring AI in Uncertain Domains
Going From Accuracy to Market Relevance
How to Use Meta-Evaluation and Practical Tools
Why this topic matters
You'll learn from
Amir Feizpour
Founder @ Aggregate Intellect
Amir Feizpour is the founder, CEO, and Chief Scientist at Aggregate Intellect building a generative business brain for service and science based companies. Amir has built and grown a global community of 5000+ AI practitioners and researchers gathered around topics in AI research, engineering, product development, and responsibility. Prior to this, Amir was an NLP Product Lead at Royal Bank of Canada. Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto. Amir also serves the AI ecosystem as an advisor at MaRS Discovery District, works with several startups as fractional chief AI officer, and engages with a wide range of community audiences (business executives to hands-on developers) through training and educational programs. Amir leads Aggregate Intellect’s R&D via several academic collaborations.
Samuel Dion-Girardeau
CTO at Tilt
After graduating in Linguistics and Computer Science at ULaval, Samuel worked at Nuance (acq. Microsoft), building a platform for researchers and devs to train and evaluate custom models for natural language understanding, speech recognition and voice biometrics. At Delphia, he worked on turning user data into real-life assets, with various data products, an AI-based robo-advisor, and even a crypto information game. Now CTO at Tilt, he's building an agent that automates end-to-end thematic investing, from theme discovery to actual trades.
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