Emir Karamehmetoglu is a Data Engineer at Axis Communications in Lund with nine years of experience turning complex scientific and observational data into actionable insights. He transitioned from a research career—holding a PhD in Astronomy and a postdoc focused on core-collapse supernovae—to production data engineering, bringing rigorous statistical thinking and large-collaboration experience to business data problems. Comfortable with Python-driven workflows and Unix-based tooling, he also created and taught graduate-level machine learning and scientific-computing courses, reflecting a talent for translating technical concepts to diverse audiences. His background in global survey projects (iPTF, ZTF, PESSTO, GROWTH) gives him practical expertise in building pipelines and reproducible analyses at scale, an asset for organizations aiming to become data-driven.
9 years of coding experience
4 years of employment as a software developer
TED Ankara
BS, Astrophysics, BS, Astrophysics at Columbia University in the City of New York
Elementary School, Elementary School at TED Ankara Koleji
PhD, Astronomy and Astrophysics, PhD, Astronomy and Astrophysics at Stockholm University
High School, High School at Owen J. Roberts High School
Library of ML&DL algorithms in raw python/numpy tested against SKLearn and Tensorflow. Object oriented, vectorized, typed. Based on Andrew NG's ML course.
Contributions:84 commits, 21 PRs, 63 pushes in 4 months
Contributions:25 commits, 20 pushes, 1 branch in 1 day
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