Summary
Amirsaeed Yazdani is a Senior Data Scientist and Computer Vision Engineer with a Ph.D. in Electrical Engineering from Penn State and five years of experience translating deep learning research into production-grade vision systems. He has developed end-to-end models across denoising, object detection, relighting, segmentation, and active learning, with industry roles at Walmart Global Tech and GE HealthCare and focused medical-imaging work such as ultrasound renal landmark detection. His background blends rigorous academic research (3.9+ GPA trajectory) with practical engineering—shipping PyTorch pipelines, GAN-based super-resolution, and prototype iOS relighting integrations. Based in New York, he combines a research-first mindset with product-oriented execution, often leveraging domain anatomy insights to improve model robustness in clinical and consumer applications.
6 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, 3.92, Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, 3.92 at Penn State University
Bachelor's degree, Bachelor's degree at Sharif University of Technology
English, Persian, Arabic