Summary
Hooshmand Razaghi is a Sr. Machine Learning Engineer with a PhD in Computer Science from Columbia University and a decade of experience building end-to-end ML systems spanning deep learning, statistics, computer vision, IoT, and neural interfaces. He has driven production ML at scale across industry leaders including Pinterest, Meta, and Qualcomm, and brings hands-on expertise in deploying AI on edge devices. His background as a graduate researcher and Google intern reflects a strong foundation in both theory and software engineering, enabling him to bridge research and product delivery. Known for tackling interdisciplinary problems, he combines sensor-driven IoT work and neural-interface insights with large-scale recommender and vision systems. Based in the United States, he favors pragmatic, production-ready solutions informed by rigorous academic training. Colleagues describe him as a builder who moves quickly from novel research ideas to robust, deployed models.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Columbia University
Bachelor of Science (BS) Computer Engineering - Software Engineering, Bachelor of Science (BS) Computer Engineering - Software Engineering at Sharif University of Technology