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Samuel Diop
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    Engineering notebook

    Samuel Diop

    Software Engineer PhD in Computer Vision

    I build visual computing systems, model runtimes, and software for constrained environments. This notebook records the engineering behind them.

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    01

    Selected Work

    Medical video

    Can ordinary video detect infantile epileptic spasms?

    Learned action recognition and classical optical flow evaluated on long clinical videos.

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    Runtime systems

    Can Echo State Networks become practical at the edge?

    A C++17 inference engine with custom CUDA kernels and sparse reservoir storage.

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    Browser inference

    Can action recognition run entirely in a browser?

    X3D-M through WebAssembly, without a backend or video upload.

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    02

    Latest Writing

    Why asynchronous model loading was three times slower Negative result How to report temporal-model throughput without ambiguous FPS Benchmark What a 10× pipeline speedup does and does not prove Performance
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    Samuel Diop. Notes, experiments, and finished work.
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