Summary
Christopher Little-savage is an AI researcher and technical founder with 11 years of experience building data-driven web platforms and ML-enabled products across startups and international development. He has led engineering teams up to 15 people and laid the technical foundations for production AI platforms while balancing rapid innovation with long-term maintainability. His work spans ML pipelines, serverless architectures, and front-end systems, with hands-on experience applying LLMs to legal workflows and defining where human oversight remains essential. Christopher founded a coding apprenticeship social enterprise in Uganda, demonstrating a practical commitment to digital and financial inclusion and pledging to reinvest personal proceeds from startups to charity. He combines Cambridge-trained computer science rigor with the product instincts of a repeat founder, able to translate domain expertise (from power electronics to financial inclusion) into pragmatic technical solutions. Notably, he pairs deep research into the limits of AI on unstructured data with frequent collaboration alongside domain experts to drive usable, safe automation.
11 years of coding experience
9 years of employment as a software developer
Master of Engineering (MEng) Advanced Computer Science, Master of Engineering (MEng) Advanced Computer Science at University of Cambridge
Further Maths Physics Latin Spanish, Further Maths Physics Latin Spanish at Churcher's College, Petersfield
French, Spanish, Latin