Joshua Harris is a founder and machine learning practitioner with a decade of experience building production-ready AI and data systems, currently leading Dynemetis to develop AI agents for real-world risk management. His background spans applied research and engineering roles—from physics-informed neural nets and surrogate models that accelerate first-principles chemistry to transformers for consumer behaviour and ensemble methods for customer segmentation. He has repeatedly moved models from research into production, led data and ML teams, and shaped MLOps platforms as an interim CTO. Based in Old Toronto, he blends a strong mathematical intuition (self-taught in mathematics) with hands-on infrastructure and deployment experience. Notably, he has delivered 100x speedups on industrial simulations via surrogate modelling and built differential-equation-driven workflows that bridge domain science and ML.
Improving observability of Canadian federal government spending
Contributions:4 reviews, 36 PRs, 50 pushes in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.