Summary
Masoud Faraki is an AI research scientist with 10 years of experience specializing in large language models, deep learning, computer vision, and high-performance computing, currently based in Mountain View and working at Samsung SDSA. He holds a PhD in Machine Learning and Computer Vision from The Australian National University and has a track record of bridging academic research and applied ML from roles at NEC Laboratories America, Monash University, CSIRO Data61, and Geoscience Australia. His work spans statistical analysis, predictive modeling, algorithm design and big-data systems, with hands-on experience taking research prototypes toward production-ready solutions. Notably, his background includes practical software engineering from an eight-year stint at Ario and early medical image analysis internships, giving him rare end-to-end fluency from code to research. He is equally comfortable pushing model boundaries in LLMs and optimizing compute for large-scale vision and geoscience applications.
10 years of coding experience
16 years of employment as a software developer
Australian National University
Master of Science (MSc), Artificial Intelligence, Master of Science (MSc), Artificial Intelligence at Isfahan University of Technology
English