Summary
Vahid Daneshpajooh is a Senior Software Engineer with a Ph.D. in Electrical Engineering and eight years of experience building machine learning and computer vision systems, particularly for medical and commercial imaging. He brings deep practical expertise in C++, Python, and MATLAB, with production-grade experience in OpenCV, OpenGL, Qt5, and GPU-accelerated inference for real-time detection. Vahid has a track record of turning research into deployable services—designing Docker-based microservices and achieving <1% flaws on a commercial background-removal DL model at Kodak Alaris. His work blends rigorous academic training from Penn State with hands-on engineering at startups and industry, enabling him to bridge algorithm development and scalable deployment. Based in Pennsylvania, he pairs strong numerical and deep-learning toolchain skills (PyTorch, TensorFlow, NumPy) with a knack for integrating scientific imaging into product pipelines.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Electrical Engineering, 3.85, Master of Science - MS, Electrical Engineering, 3.85 at Iowa State University
Doctor of Philosophy - PhD, Electrical Engineering, 3.8, Doctor of Philosophy - PhD, Electrical Engineering, 3.8 at Penn State University
ECE/The University of Tehran