Summary
Carlos Silanes is a software-focused civil engineer based in Barcelona with five years of professional experience blending structural design, project management and software development within the AEC sector. He has transitioned from hands-on roles on large infrastructure projects (Riyadh Metro Line 5, Congo–Victoria Falls railway) to building tooling and workflows that leverage libraries like BlenderBIM and IFC.js to modernize BIM processes. Complementing his AEC expertise, he practices data science and advanced ML—holding a Deep Reinforcement Learning Nanodegree—and applies Python-driven automation to engineering problems. Comfortable across field work, consulting, and software engineering, he brings an uncommon combination of international construction experience and practical ML/software skills to bridge domain and code.
5 years of coding experience
7 years of employment as a software developer
Deep Reinforcement Learning Nanodegree, Machine Learning, Deep Reinforcement Learning Nanodegree, Machine Learning at Udacity
Civil Engineering, Erasmus Stay, Civil Engineering, Erasmus Stay at Université de Liège
UPC Universitat Politècnica de Catalunya
Spanish, Catalan, English, French