Summary
Gabor Kovacs is a Software Systems Engineer with a physics and PhD-level astronomy background and nine years of industry experience building and maintaining large, multi-language scientific codebases and cloud-based data pipelines. He has delivered production-grade solutions for high-throughput imaging projects—working on 3D light-sheet microscopy at the Allen Institute and large-scale image differencing for the Vera C. Rubin Observatory—while routinely optimizing algorithms, parallel workflows (Dask/Spark), and OME‑Zarr data formats. Comfortable with hands-on instrument installation and calibration, he pairs operational field experience with deep software craftsmanship in Python, Linux, C++ and virtualization. Gabor is deliberately attracted to legacy systems, refactoring and stabilizing them for modern cloud and data-intensive environments, and is now expanding into ML/AI methods that embed physical domain knowledge. Based in Budapest, he blends academic rigor from Cambridge and observational astronomy with practical project delivery at major research institutions.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at University of Cambridge
Master's degree, Physics, Master's degree, Physics at Eötvös Loránd University
Master's degree, Business/Managerial Economics, Master's degree, Business/Managerial Economics at Corvinus University of Budapest
Hungarian, German, English