exilis 

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Summary

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Rockstar
Yuki Hayashi is a seasoned engineering leader and entrepreneur with 14 years of experience building high-performance software, machine learning, and cutting-edge graphics systems from Kobe, Japan. As Partner at SISU LLC and former Co-Founder/CTO of multiple startups, he blends hands-on systems programming (from ARM assembly graphics engines to server-side architectures) with strategic technical advisory and international team leadership. His work spans computer vision, deep learning R&D, distributed databases, blockchain, and even early mobile and console networking at Nintendo and Nokia, where he delivered major performance gains and production systems. An active open-source contributor, he implemented a Python selective search algorithm for object recognition and consistently improves code quality and examples for users. Known for turning research-grade algorithms into production-ready systems, he combines low-level optimization craft with product-focused engineering.
code14 years of coding experience
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Github Skills (7)

algorithm10
algorithms10
scikit-image10
python10
implement10
numpy10
computer-vision9

Programming languages (4)

C#GoJupyter NotebookPython

Github contributions (5)

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AlpacaTechJP/selectivesearch

Jul 2015 - Sep 2017

Selective Search Implementation for Python
Role in this project:
userBack-end Developer
Contributions:32 commits, 6 PRs, 20 pushes in 2 years 2 months
Contributions summary:Exilis implemented a selective search algorithm for object recognition, as indicated by the repository description. The initial commit establishes the core functionality with the implementation of key functions such as region generation, similarity calculations, and region merging using Python. Subsequent commits include code formatting and style adjustments to improve code readability. The final commits added an example and other refinements.
python
AlpacaTechJP/jpxlab

Nov 2019 - Nov 2019

Data analysis sandbox for JPX
Contributions:10 commits, 5 PRs, 9 pushes in 2 days
data-analysis
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