Summary
Erik Engelhardt is a software engineer with nine years of experience blending embedded systems, real-time C/C++ frameworks, and machine learning to solve industrial and biomedical problems. He recently completed a PhD developing a novel non-invasive cardiac electroanatomical mapping algorithm that bridges classic signal processing and modern ML, and now applies that expertise to AI-driven manufacturing solutions at Heidelberger Druckmaschinen. Skilled in C, C++, Python, Rust, and Qt, he has a track record of shipping production-quality real-time software and collaborating on large codebases using Git/GitLab. His background in Siemens automation and vocational training gives him practical hardware and HMI insight that complements his research-driven approach. Colleagues value his ability to translate complex signal-processing research into robust, industry-ready applications.
9 years of coding experience
1 year of employment as a software developer
Vocational Training Electronics Engineer for Automation Technology, Vocational Training Electronics Engineer for Automation Technology at Siemens Professional Education
Master of Science - MS Microelectronic Systems, Master of Science - MS Microelectronic Systems at Hamburg University of Applied Sciences