De-Risking LLM Model Switches w Evals & Prompt Optimization
Hosted by Amir Feizpour and Hugo Mailhot
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
Establishing Reliable Evals
Automated Prompt Optimization
Scaling RAG Across Models
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.
Hugo Mailhot
CoreNLP Lead @ Coveo
Hugo Mailhot is a researcher and team lead specializing in large language models and natural language processing. He has worked across academia, finance, and industry, with experience in quantitative trading, data science leadership, and AI product development. Currently at Coveo, Hugo leads the CoreNLP team, helping evolve and strengthen the company’s LLM-powered offerings. He is passionate about bridging research and practice, and brings a background that spans linguistics, machine learning, and applied AI.
By continuing, you agree to Maven's Terms and Privacy Policy.