Summary
Khaled Nakhleh is an applied scientist and PhD-trained electrical engineer with eight years of experience applying machine learning and signal-processing expertise to real-world problems. Based in Seattle and a U.S. permanent resident, he brings production and research experience across academia (Texas A&M) and industry, including internships at Nokia Bell Labs and an applications engineering background. Proficient in Python (PyTorch, TensorFlow, Keras), C++ (C++14/17, Boost), MATLAB, and SQL, he moves models from prototype to deployable systems and is now contributing ML solutions at Amazon. While most of his GitHub work is private due to research and enterprise projects, his track record reflects a blend of rigorous academic research and hands-on engineering that enables rapid iteration on complex AI systems.
8 years of coding experience
Master of Science - MS, Electrical Engineering, MS GPA: 4.0 / 4.0. Overall GPA: 3.9 / 4.0, Master of Science - MS, Electrical Engineering, MS GPA: 4.0 / 4.0. Overall GPA: 3.9 / 4.0 at Texas A&M University
Bachelor of Science - BS, Electrical Engineering, Bachelor of Science - BS, Electrical Engineering at Texas A&M University at Qatar
Arabic, English