Jelodari Jelodari is a PhD-trained machine learning and IoT specialist, co-founder and serial AI-builder with a decade of experience turning research-grade ideas into industry-grade products across healthcare, transportation and infrastructure. He led hardware-accelerated ML and anomaly-detection projects, co-founded Reconfigure.io to commercialize his PhD work on hardware compilers, and secured EPSRC fellowship support and strategic investment to scale acceleration services. His hands-on portfolio spans real-time, low-latency SaaS systems, ROS + computer vision edge products for hospital robotics, and GenAI pipelines that improved L&D productivity and fairness. Comfortable bridging academia and industry, he has collaborated with top labs (BSC, USC, Manchester) on graph neural networks and distributed CPU inference. Notably, he pairs deep systems-level expertise with product focus—delivering low-cost, scalable medical education at Learnify Health and practical AI for kitchen and ICU workflows. Based in the UK, he combines invention-first research instincts with a track record of commercial deployments and grant-backed innovation.
10 years of coding experience
8 years of employment as a software developer
Visiting Scholar, Computer Science, Visiting Scholar, Computer Science at University of Southern California
PhD, Computer Science, PhD, Computer Science at The University of Manchester
Startup accelerator mentorship, Startup accelerator mentorship at London Business School
Bachelor of Science - BSc, Computer Engineering, Bachelor of Science - BSc, Computer Engineering at University of Tehran
Contributions:36 commits, 8 PRs, 65 pushes in 1 year 2 months
golangfpgasaccelerationbnnneural-network
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