Summary
Thomas Maher is a lead embedded software engineer with eight years of experience building high-performance, resource-constrained systems and production ML inference pipelines. A Virginia Tech computer engineering graduate specializing in machine learning, he blends low-level bare-metal development, FPGA design, and RF signal processing with practical expertise in TensorRT, TensorFlow, and real-time C++/Python integration. At Two Six Technologies he progressed from engineer to lead, and previously built ML frameworks and edge inference solutions at NT Concepts while researching error-correction for neural nets in hostile environments. He enjoys squeezing performance out of constrained hardware and demystifying AI beyond the “black box,” often working at the intersection of embedded firmware, RF, and model robustness. Based in Centreville, VA, he pairs systems-level rigor with a research-minded approach to applied ML and signal processing.
8 years of coding experience
6 years of employment as a software developer
Computer Engineering Machine Learning, Computer Engineering Machine Learning at Virginia Tech
High School, High School at Trinity School at Meadow View