Summary
Carles Mesado is a Data Scientist with eight years of experience applying Python-first full-stack Big Data and ML solutions to engineering and nuclear domains. He built production-grade tooling—from ETL pipelines and visualization libraries to deep-learning optimizers for nuclear fuel pattern design—that saved engineers weeks to months of work and were deployed via GitLab, Docker and Nexus. With a PhD in Nuclear Engineering and hands-on research experience (including an internship on Fukushima scenarios), he blends rigorous uncertainty quantification and sensitivity analysis with pragmatic software engineering and clean-code practices. An active mentor and communicator, he has led internal Python User Groups, given public talks, and supports STEM outreach through long-term volunteer work. Outside work he enjoys programming bots, playing piano and cycling, and you can explore his open-source projects and StackOverflow activity for concrete examples of his craft.
8 years of coding experience
15 years of employment as a software developer
Master's degree, Energy Efficiency and Sustainability, Master's degree, Energy Efficiency and Sustainability at Universitat Jaume I
Universitat Politècnica de València
English, Spanish, Catalan, Dutch