Summary
Orfeas Kypris is a Senior Software Engineer with nine years of experience focused on ML platforms, MLOps and data-driven production systems, currently building scalable infrastructure at Universal Music Group. He blends academic rigor—PhD and postdoctoral work in signal processing and positioning at Iowa State and Oxford—with hands-on delivery of full-stack and embedded solutions across startups and consultancies. His background spans inventing indoor localization algorithms and putting them into production in Python and C++, to leading AI R&D teams and securing €400k in EU funding for robotics projects. Orfeas volunteers as a data scientist for humanitarian applications, applying spatiotemporal satellite data and ML to optimise aid distribution in Sub-Saharan Africa. He also mentors engineers and data scientists one-on-one while contributing broadly to data tooling and productionisation patterns. Based in Oxford with Greek roots, he combines deep research insight with practical engineering that moves ML from prototype to resilient, offline-capable deployments.
9 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (BEng), Electrical and Electronic Engineering, Bachelor of Engineering (BEng), Electrical and Electronic Engineering at Cardiff University / Prifysgol Caerdydd
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at Iowa State University
Postdoctoral Researcher, Computer Science, Postdoctoral Researcher, Computer Science at University of Oxford
English, Greek, German