Summary
Phillip Dudero is an advanced software engineer with 11 years of professional experience who blends deep learning, data analytics, and embedded systems expertise to deliver robust, production-ready solutions. He currently drives complex software development at a large tech company and has a strong research pedigree from a Ph.D. and postdoctoral work analyzing LHC collision data, coauthoring multiple papers and presenting at international conferences. His background spans low-level embedded development for defense and real-time DSP systems to modern ML stacks (TensorFlow, PyTorch, OpenCV) and cloud deployments, enabling him to bridge hardware, firmware, and AI-driven software. Phillip is known for meticulous problem solving and persistence, mentoring students and junior engineers throughout his career. A practical experimentalist, he has lived and worked onsite at CERN and led substantial data-acquisition and time-alignment software efforts for major physics detectors—experience that informs his precision-focused approach to engineering. Based in New Brighton, MN, he combines academic rigor with field-proven engineering to tackle small-signal detection and scalable system design.
11 years of coding experience
24 years of employment as a software developer
University of Minnesota Twin Cities
Masters Certificate, Computer Software Engineering, Masters Certificate, Computer Software Engineering at University of St. Thomas