Amir Mir is a software engineer and ML researcher with 11 years of experience who recently completed a PhD at TU Delft investigating ML-assisted software analysis and now builds industrial IoT solutions in the Netherlands. He has designed and deployed AI-powered anomaly detection across ~10K sensors and built log-based performance analyzers to optimize rule chains in production IoT platforms. His background spans large-scale empirical software engineering—engineering tooling to analyze millions of Maven projects in an EU Horizon-funded consortium—and hands-on ML work from C++ libraries to Python systems. Comfortable bridging research and production, he brings a rare combination of academic rigor and cloud-native engineering experience, including Kubernetes orchestration and supervising student-driven research.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Islamic Azad University
Bachelor of Science - BS, Bachelor of Science - BS at University of Tehran
Doctor of Philosophy - PhD, Software Engineering, A, Doctor of Philosophy - PhD, Software Engineering, A at Delft University of Technology
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