Christos Dimopoulos is a Deep Learning Engineer with nine years of applied data science experience, currently building ML solutions at Sonova Group in Zurich. He has a strong track record in financial services and enterprise settings—designing production-ready ML and NLP pipelines at UBS and Contovista that supported millions of users and automated marketing and transaction insights. Skilled across deep learning, natural language understanding, Python, SQL and big-data tooling, he combines research-backed methods from an MSc in Informatics (University of Edinburgh) with hands-on engineering to deliver end-to-end systems. His background in electrical engineering and an early RF research internship give him a unique systems-level perspective on signal processing and model robustness. Colleagues rely on him for turning prototyped models into scalable inference pipelines that integrate with web interfaces and visualization layers.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Informatics/Data Science, Master of Science - MS, Informatics/Data Science at The University of Edinburgh
Master of Engineering (M.Eng.), Electrical and Computer Engineering, Master of Engineering (M.Eng.), Electrical and Computer Engineering at National Technical University of Athens
Contributions:4 commits, 3 pushes, 1 branch in 1 day
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Christos Dimopoulos - Deep Learning Engineer at Sonova Group