Summary
Alireza Naghizadeh, Ph.D., is a Senior Machine Learning Engineer with nine years of experience applying deep learning to real-world vision and biomedical problems, currently holding ML Engineer IV at Meta. He blends a strong research background from Rutgers—where he developed automated ML pipelines for neural models and worked on microscopy image analysis for cancer treatment—with production-focused roles across startups and enterprise software. His toolkit spans classification, object detection, semantic segmentation, GANs, autoencoders, and data augmentation, enabling end-to-end solutions from data curation to deployment. Alireza has repeatedly translated academic innovations into applied products at companies like TARGAN and FasterLabeling, and he favors pragmatic automation that accelerates model development for small and large datasets. A less obvious strength is his focus on automation specifically tuned to microscopy data constraints, making ML workflows faster and more cost-effective for clinical-scale evaluation.
9 years of coding experience
4 years of employment as a software developer
University of Guilan
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Rutgers University
English, Persian