Summary
Eva Černčič is a data analyst and algorithm developer with 11 years of experience applying advanced mathematics to real-world engineering problems at Institute IRNAS in Slovenia. With an MSc in Applied Mathematics from Imperial College London, she specializes in algorithm design, data-driven evaluation of prototypes, and bridging the gap between research and market-ready systems. Her recent work includes developing a high-performance CNC interpolation algorithm for PlanetCNC and a fast pointing-acquisition-tracking system for the KORUZA wireless optical link. She began her career with summer research roles at the Jožef Stefan Institute, contributing to virtual assistant development and statistical analysis for people-recognition projects. Eva combines rigorous academic training with hands-on implementation across software and hardware stacks, frequently partnering with development teams to move algorithms into deployed products. Colleagues describe her strength as turning complex mathematical models into efficient, industry-oriented solutions.
11 years of coding experience
Master of Science (MSc), Applied Mathematics, Distinction, Master of Science (MSc), Applied Mathematics, Distinction at Imperial College London
Bachelor of Science (BSc), Mathematics, Distinction, Bachelor of Science (BSc), Mathematics, Distinction at University of Southampton
International Baccalaureate, 41 points, International Baccalaureate, 41 points at II Gimnazija Maribor
English, Slovenian, German, Croatian, Serbian