Summary
Muhammad Qureshi is a Principal Engineer based in Charlottesville, VA with 12 years of experience building machine learning, deep learning, signal processing, and simulation solutions across defense and commercial domains. He holds advanced degrees from the University of Virginia and has blended academic research in distributed systems and parallel programming with hands-on development of autonomy, computer vision, and NLP systems. His career spans roles from systems engineering at Northrop Grumman to leading autonomy and deep learning efforts at Rebellion Defense, Expedition Technology, and currently Dedrone, plus independent consulting engagements. Known for taking projects from concept through prototyping to production, he brings strong statistical and stochastic analysis skills to real-time and embedded problem spaces. Notably, his background pairs theoretical research experience with practical implementation of optical and communications systems early in his career—a detail that informs his multidisciplinary approach to engineering.
12 years of coding experience
11 years of employment as a software developer
Masters of Science Electrical Engineering, Masters of Science Electrical Engineering at University of Virginia
Urdu, Hindi