Summary
Daniel Golonka is a software engineer with a physics foundation from the University of Chicago and 12 years of hands-on experience applying computational methods to astrophysics, particle physics, and embedded flight systems. He builds production-ready C++ and Python software for real-time and space applications—recently contributing to an ATLAS LHC data-filtering prototype and avionics flight software for a CubeSat demonstrating optical laser communication. His work blends data analysis, machine learning, and image calibration pipelines (including NETD characterization and dark/flat corrections) to convert lab and satellite sensor data into mission-ready artifacts. Comfortable from cleanroom hardware testing to cloud-hosted visualizations, he also mentors future scientists and helped a cohort achieve an 82% elite-college acceptance rate. Colocated in Chicago, he’s drawn to computational physics, space algorithms, and flight software but brings a versatile software engineering toolkit applicable across domains.
12 years of coding experience
2 years of employment as a software developer
High School Diploma, High School Diploma at Belvidere High School
Bachelor of Science - BS Physics CS Minor, Bachelor of Science - BS Physics CS Minor at University of Chicago
Associate of Science - AS Physics, Associate of Science - AS Physics at Rock Valley College