Yusuke Shinyama

Tokyo, Japan

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Summary

🤩

Rockstar

🎓

Top School

Yusuke Shinyama is a seasoned software engineer and educator with over a decade of experience building customer-facing products and seven years teaching computer science at top institutions. He blends deep practical skills in Python, C/C++, C#, JavaScript/TypeScript and systems programming with research-level training (PhD in Computer Science from NYU) to tackle challenging parsing, accessibility, and backend problems. His long-term work on open-source projects like pdfminer demonstrates a knack for robust text extraction and PDF analysis, while his industry roles—from assistive-technology development for the visually impaired to product engineering at VMware Tanzu Labs—showcase a commitment to impactful, user-centered solutions. Fluent across platforms and protocols, he also volunteers teaching programming to visually impaired students, reflecting a rare combination of technical breadth and social purpose.

13 years of coding experience

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York University

Master's degree, Computer Science, Master's degree, Computer Science at Tokyo Institute of Technology

English, Japanese

Stackoverflow

Stats

1,933reputation

68kreached

0answers

1question

Github Skills (11)

parserator10

pdf10

parser10

python10

pdf-parsing10

data-structure9

data-structures9

file-handling9

lookup6

rust6

hashmap6

Programming languages (4)

TypeScriptJavaCPython

Github contributions (5)

euske/pdfminer

Apr 2013 - Jan 2020

Python PDF Parser (Not actively maintained). Check out pdfminer.six.

Role in this project:

Back-end Developer

Contributions:146 commits, 11 PRs, 32 pushes in 6 years 10 months

Contributions summary:Yusuke contributed primarily to the `pdfminer` project by modifying and adding features to the codebase. Their work involved refactoring and improving the PDF parsing and interpretation functionality, including updates to object handling, security features, and layout analysis. Furthermore, the user added features for handling text extraction and improved the overall robustness of the parser, ensuring better compatibility with a wider range of PDF files. These changes likely enhanced the project's ability to extract data from complex PDF documents.

actively-maintainedpythonpdfpdfminerextraction

euske/pushmo-solver

Jul 2014 - Dec 2015

Contributions:25 commits, 15 pushes in 1 year 5 months

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