Evolutionary LLM Systems for Code Optimization

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 (

Dmytro Nikolaiev is a Machine Learning Scientist at ChainML (Theoriq), where he builds and scales agentic LLM systems - from orchestration to evaluation and production monitoring. He’s especially interested in evolutionary algorithms, automated improvement loops, and “systems that get better with feedback.” Dmytro likes bridging research ideas with practical implementations: turning papers into repeatable engineering patterns, robust evaluation harnesses, and measurable system upgrades.