Hossein Aboutalebi is an applied scientist with nine years of experience building and tuning multimodal large language models, unsupervised vision systems, and defenses against adversarial attacks. Currently at Amazon, he architects LLM agent systems that improve reasoning, automation, and end-to-end generative product experiences, drawing on prior applied roles at AWS, Apple, Cerebras, and startups. His research background (PhD work at University of Waterloo and research roles at McGill and a vision lab) grounds a pragmatic approach to bridging cutting-edge multimodal research and production engineering. He has hands-on experience optimizing CNNs, fine-tuning multimodal LLMs, and deploying language models like BERT and GPT across specialized hardware. Known for moving quickly between research and applied product work, he combines deep theoretical knowledge with practical performance tuning on real systems. Based in Montreal, he often tackles cross-disciplinary problems where vision and language intersect, bringing an engineer’s focus on robustness and scalable inference.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at McGill University
Bachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Sharif University of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Waterloo
Contributions:145 commits, 12 PRs, 143 pushes in 11 months
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