Summary
Hossein Eybposh is a Senior AI Engineer with nine years of experience at the intersection of AI, optics, and biomedical engineering, currently based in Oakland, CA. He holds a PhD in Biomedical Engineering and has translated deep research into deployed systems, from patented DeepCGH algorithms to real-time holographic displays and high-throughput eye-tracking at frame rates of 120 fps. Hossein builds production-grade transformers and multi-agent reasoning loops for behavioral prediction and diagnostics, and pioneered graph neural nets and differentiable wave-optics libraries that cut inference times by an order of magnitude. His work uniquely blends physics-based loss functions and practical ML engineering to push holographic and near-eye display performance by multiple orders of magnitude. Comfortable moving between research labs and product teams, he has a track record of taking academic innovations (licensed patents, collaborations with Janelia/Duke/UC Berkeley) into scalable prototypes. Colleagues rely on him for creative problem-solving where optics, ML, and systems engineering converge.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Bioengineering and Biomedical Engineering, Master's degree, Bioengineering and Biomedical Engineering at Sharif University of Technology
Bachelor's degree, Biomedical/Medical Engineering, Bachelor's degree, Biomedical/Medical Engineering at University of Isfahan
Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at University of North Carolina at Chapel Hill