Summary
Ehsan M. Ardehaly is a software engineer and applied scientist with nine years of experience building and deploying machine learning systems for real-world problems, currently focused on reducing content integrity harms at Facebook using state-of-the-art language models and semi-supervised multi-task training. He has deep expertise across NLP, computer vision, acoustic modeling, recommendation systems, and label-proportion learning, combined with hands-on data engineering on large-scale Apache ecosystems and distributed training frameworks. Previously he led R&D teams delivering end-to-end photo analytics, Realsense integration, and production ML pipelines (Airflow, Kubernetes, ONNX, Horovod) at CCC Information Services. Ehsan pairs a rigorous academic background—a PhD in Computer Science and an MSc/BSc in STEM fields—with practical product experience from startups to enterprise, including published research on listening behavior prediction and LLP. He brings a rare blend of signal-level acoustic work, geospatial reverse geocoding, and scalable unstructured-data tooling, making him effective at turning research advances into production services. Based in Seattle, he is comfortable shipping distributed ML at scale and mentoring teams on both algorithmic and systems engineering challenges.
9 years of coding experience
16 years of employment as a software developer
Master of Science (MSc), Information Technology, Master of Science (MSc), Information Technology at K. N. Toosi University of Technology
Doctor of Philosophy (PhD), Computer Science, GPA 4, Doctor of Philosophy (PhD), Computer Science, GPA 4 at Illinois Institute of Technology
Bachelor of Science (B.S.), Applied Mathematics, Bachelor of Science (B.S.), Applied Mathematics at Sharif University of Technology
Persian, English