Summary
Jon Domínguez is a Mid Data Scientist based in Barcelona with eight years of technical experience and a PhD in Computational Chemistry focused on machine-learning–assisted global optimization for catalyst discovery. He combines strong scientific research—HPC-driven ab initio calculations, data analysis and visualization—with practical engineering skills in Python, C/C++, DevOps tools (Apache, Jenkins, git) and systems administration. At Universitat de Barcelona he translated advanced ML algorithms into reproducible pipelines and scientific publications, and now applies that blend of research rigor and production awareness at Sngular. Currently studying Mathematics to deepen his theoretical toolbox, he brings a rare mix of chemistry domain expertise, software craftsmanship and operational know-how. A creative learner who also explores 2D/3D animation and game design, he pairs analytical depth with an exploratory mindset that thrives on iterating toward better solutions.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Chemistry, Bachelor's degree, Chemistry at Universidad Nacional de Educación a Distancia - U.N.E.D.
Doctor of Philosophy - PhD, Computational Chemistry, Doctor of Philosophy - PhD, Computational Chemistry at Universitat de Barcelona