Yuji Uchiyama
Chief Expert at Communication & Telecom equipment maker
Yokohama, Japan
Summary
👤
Senior🎓
Top SchoolYuji Uchiyama is a seasoned chief expert and engineer with over three decades of experience in electro-optical and display technologies, now leading advanced development at a communications and telecom equipment maker. He has driven elemental technologies for LCoS, SLM, and image-storage media, combining deep analog/electro-optical expertise with FPGA and ASIC implementation skills to improve image quality for digital cinema and ultra-high-definition displays. At JVC/KENWOOD he led industry–government–academia collaborations and developed projector and research-display systems, blending circuit/board design, signal evaluation, and patentable inventions. Equally at home in hardware and software, he codes in C++, Python and VB, simulates analog circuits with SPICE, and has contributed to open-source ML tooling by improving core algorithms and CSV handling. Based in Yokohama, he uniquely pairs materials research background (CuInSe2 semiconductors) with practical system integration know-how, enabling end-to-end optimization from device physics to image correction pipelines.
11 years of coding experience
22 years of employment as a software developer
学士（理工学）, 電気工学科, 学士（理工学）, 電気工学科 at 東京理科大学
Github Skills (6)
logistic-regression10
php10
machine-learning10
support-vector-machine10
clustering-algorithm10
unit-testing9
Programming languages (5)
Github contributions (5)
jorgecasas/php-ml
Aug 2017 - Jun 2018
PHP Machine Learning library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits in 10 months
Contributions summary:Yuji primarily contributed to the improvement and maintenance of the PHP Machine Learning library. They focused on enhancing the core functionality of the library, addressing specific issues related to dataset handling, particularly with CSV files and long lines. The user implemented and refactored DBSCAN clustering, improved the Logistic Regression implementation, and fixed support for rules within the Apriori algorithm. They also added support for probability estimation in SVC.
regressionclassificationldasvmphp
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