Summary
Anthony Iheonye is a software developer and AI/ML engineer based in Montreal with a PhD in Bioresource Engineering and a track record of turning academic research into production-ready AI solutions. He specializes in real-time monitoring, control and predictive analytics for biological and food-process systems, having built novel CNN and time-series models that significantly reduced food loss, compute costs, and improved product quality. At McGill he led work on digital-twin applications and vision systems that boosted segmentation and crop-health metrics and at ORS implemented distributed training and GPU-accelerated preprocessing to cut training time and memory use dramatically. His background spans academia, industrial R&D and teaching, giving him a rare blend of domain expertise in agricultural processes and hands-on ML engineering. Notably, he has repeatedly delivered pragmatic optimizations—single-pass CNNs and efficient input pipelines—that trade academic novelty for tangible operational impact.
2 years of coding experience
10 years of employment as a software developer
Master of Engineering - M.Eng, Bioresource Engineering, Master of Engineering - M.Eng, Bioresource Engineering at Federal University of Technology Owerri Nigeria
Doctor of Philosophy - PhD, Bioresource Engineering, Doctor of Philosophy - PhD, Bioresource Engineering at McGill University