Matt Kreileder is a seasoned C++ software engineer with a decade of experience building high-throughput, reliable systems for finance and research. He spent five years at Bloomberg developing libraries that power the firm’s live market data pipeline, handling tens of billions of messages per day. His background includes research and simulation work in ns-3 and position-based routing at Fraunhofer, and robotics simulation and tooling experience from Siemens, reflecting strong systems thinking across networking, real-time and simulation domains. Recently contributing to LiteRT at Google’s Edge AI efforts, he blends production-grade engineering with an interest in edge ML runtimes. Educated in electrical engineering (TUM) and advanced computing (King’s College London, with distinction), he brings a rigorous academic foundation to practical, performance-critical software. Colleagues would note his habit of surfacing clean interfaces in complex codebases and turning simulation prototypes into robust C++ components.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Electrical Engineering and Information Technology, Bachelor of Science (B.Sc.), Electrical Engineering and Information Technology at Technical University of Munich
Master’s Degree, Advanced Computing, With Distinction - Overall Score: 83 (out of 100), Master’s Degree, Advanced Computing, With Distinction - Overall Score: 83 (out of 100) at King's College London
High School, Mathematics and Physics, High School, Mathematics and Physics at Louise-Schroeder Gymnasium
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