Summary
Pablo Romero is a software engineer with eight years' experience and a first-class BEng in Artificial Intelligence & Software Engineering from the University of Edinburgh, where he graduated top of his class. He has production experience at Amazon (SDE I/II) and a background in high-performance computing from a PRACE-supported internship, where he built a live deep-learning emotion-detection app and earned the PRACE Ambassador Award. Comfortable bridging research and engineering, he combines rigorous academic training with hands-on systems development across ML, AI and cloud-scale services. Multilingual and musically trained in violin, piano and composition, he brings creative problem-solving and discipline to complex software challenges.
8 years of coding experience
2 years of employment as a software developer
Artificial Intelligence and Software Engineering (BEng Hons), Computer Science, First class. Class Prize for Top Performance., Artificial Intelligence and Software Engineering (BEng Hons), Computer Science, First class. Class Prize for Top Performance. at The University of Edinburgh
International Baccalaureate in Technological Sciences, 40/45, International Baccalaureate in Technological Sciences, 40/45 at International Baccalaureate
Computer Science, 84% average, Computer Science, 84% average at University of Toronto
Violin, Piano and Musical composition, Violin, Piano and Musical composition at Conservatorio Profesional Francisco Guerrero
English, Spanish, French