Summary
Patrick Kage is a senior scientist and AI researcher based in Edinburgh, blending cutting-edge AI with robust, real-world software engineering. With 11 years of experience spanning space-tech interfaces, NASA JPL collaborations, and high-assurance Python/JavaScript/Julia codebases, he currently leads research at SpaceRake on training AI with unreliable data. His work spans spacecraft interaction, web-scale systems, and cross-domain problem solving, reflecting a hands-on approach to turning theoretical insights into dependable software. He holds a PhD in Artificial Intelligence from the University of Edinburgh and a first-class BS in AI, underscoring a strong academic foundation married to practical engineering. Outside work, he enjoys scientific computing, Svelte, and scuba diving, which hints at a penchant for exploration and precision under pressure. Based in the UK, he is open to opportunities to collaborate on ambitious AI and space-tech projects.
12 years of coding experience
4 years of employment as a software developer
The University of Edinburgh
High School Diploma, High School Diploma at Choate Rosemary Hall
English, Polish