Summary
Chris Dipple is a seasoned entrepreneur and technical director with over three decades of experience building and advising technology ventures, currently focused on the ARC-AGI Kaggle challenge to push machine visual reasoning beyond data-hungry models. With an MSc in Artificial Intelligence from the University of Edinburgh and a background founding companies like SECPay and Intelligent-Net, he blends deep technical fluency (Rust/Scala/Python) with C-level strategy to create disruptive, commercially viable products. Past roles include CTO and Chief Data Scientist positions where he designed fraud prevention and IoT data-sharing solutions, demonstrating a knack for turning complex data problems into pragmatic systems. Now based in England, he’s intentionally tackling few-shot visual learning as a way to reverse-engineer human-like intuition and reduce the computational and energy costs of current AI approaches. Notably, his work spans both hands-on engineering and high-level business design, making him as comfortable prototyping models as steering company strategy.
9 years of coding experience
16 years of employment as a software developer
MSc, Artificial Intelligence, MSc, Artificial Intelligence at The University of Edinburgh
BSc, Computer Science, BSc, Computer Science at Queen Mary University of London