Behnam Sabeti is a Head of AI with 8+ years building and scaling production ML systems across NLP, reinforcement learning, and recommendation engines. He designs low-latency, high-throughput pipelines for large-scale VOD and automated trading platforms, from personalized recommendations and duplicate-video detection to multi-agent RL for optimized order placement. A PhD-trained AI specialist and former research associate, he blends research-grade representation learning with pragmatic MLOps—automating training, distributed HPO, and seamless model deployment. As a founder-turned-leader, he’s comfortable shifting between hands-on model development and architecting resilient services that serve millions of requests, and his background in linguistics and NLP often informs practical metadata enrichment and content understanding solutions.
8 years of coding experience
6 years of employment as a software developer
Diploma, Mathematics, Diploma, Mathematics at NODET
Bachelor's Degree, Computer Software Engineering, Bachelor's Degree, Computer Software Engineering at Ferdowsi University of Mashhad
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Sharif University of Technology
Contributions:4 commits, 3 pushes, 1 branch in 1 year 3 months
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