Summary
Ramy Dagher is a Tech Lead with 11 years of hands-on experience in computer vision and machine learning, currently driving R&D and technical strategy at BoofCV. He has a proven track record at Microsoft and Google building and optimizing real-time image processing, target recognition, and dynamic object-tracking systems for large-scale products. Ramy combines deep learning, classical vision algorithms, and large-scale data processing to turn research into production-ready features that improve accuracy and latency. At BoofCV he led the team to strengthen the project’s open-source presence while delivering practical algorithmic improvements across products. He holds a Master’s in Computer Vision and Machine Learning from UIUC and frequently engages with academic forums to bridge research and industry. Less obvious: he balances leadership with day-to-day algorithm development, often contributing core optimizations himself rather than solely managing from the sidelines.
11 years of coding experience
12 years of employment as a software developer
Master's degree, Computer Vision and Machine Learning, Master's degree, Computer Vision and Machine Learning at University of Illinois Urbana-Champaign