Summary
Eduardo Pelaez is a deep-tech serial entrepreneur and CTO with over a decade of experience turning research-grade hardware and algorithms into commercial products across MedTech, Construction Tech and AI. He blends a rare combination of hands-on engineering (FPGA, embedded systems, low-power devices) and product-led scaling—having led Series A product/engineering at Converge, driven rapid user growth at EMIS/Patient, and taken medical devices through clinical trials and CE preparation. An Imperial College triple alumnus (MEng, PhD, MBA), he pairs technical rigor with fundraising and corporate partnerships, including deals with Stanley Black & Decker and collaborations at Canonical with NVIDIA/Intel/AMD. More recently he’s focused on LLM orchestration and deterministic AI agents, applying type theory from his FP/HPC background to make agent systems predictable. Based in London, he operates across founding, fractional CTO and advisory roles, often bridging silicon-to-software strategy for startups.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical and Electronics Engineering, Doctor of Philosophy (PhD) Electrical and Electronics Engineering at Imperial College London
BAC European Baccalaureate, BAC European Baccalaureate at Ecole Européenne de Bruxelles
MBA, MBA at Imperial College Business School
English, French, Spanish