Summary
Chinemelu Ezeh is a technology leader and engineer with 12 years’ experience building AI-driven robotics, automation and low-latency trading systems across startups and enterprise environments. He combines hands-on C++/Python engineering and research (PhD-level work in assistive robotics) with senior leadership as Managing Director and founder roles, recently focusing on GovTech and AI/Cybernetic solutions. His background spans motion planning, dynamic path planning and digital twins for autonomous vehicles, plus production-grade connectivity and latency-sensitive systems (Kafka, FIX, AWS) for trading. Comfortable moving between research, product and delivery, he mentors engineers and ships practical, safety-conscious robotics solutions. Based in Oxford, he pairs academic rigor from Imperial and UCL with entrepreneurial drive to turn complex, nature-inspired models of intelligent behaviour into deployable systems.
12 years of coding experience
10 years of employment as a software developer
Master of Engineering (MEng), Electrical and Electronics Engineering, Master of Engineering (MEng), Electrical and Electronics Engineering at Imperial College London
University College London