Summary
Carlos Polanco is a Computer Vision Engineer III with nine years of hands-on experience building AI-driven vision systems at Stats Perform, progressing from intern to senior technical contributor. Based in El Puerto de Santa María and currently on Erasmus at Kingston University, he blends academic rigor from the University of Cádiz with practical production work in sports and media analytics. Comfortable across the ML lifecycle, he pairs research-minded curiosity with applied engineering—shipping models, tooling, and data pipelines that power real-time insights. He also engages in scientific-technical outreach (LaTeX documentation, teaching and talks) and has built cross-platform tooling like React Native apps, highlighting a mix of communication skills and full-stack pragmatism that complements his deep Computer Vision focus.
9 years of coding experience
2 years of employment as a software developer
Computer Science BSc, Erasmus, Computer Science, Computer Science BSc, Erasmus, Computer Science at Kingston University
Computer Engineering BSc, Computational Science, Computer Engineering BSc, Computational Science at University of Cádiz
English, Spanish