Rito Takeuchi
Senior Sofware Engineer at Microsoft
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolRito Takeuchi is a senior software engineer with 11 years of experience combining data platform architecture, backend engineering, and ML/computer vision research. He has led end-to-end data platform modernizations—airflow CI/CD, Redshift/LakeFormation integrations, and BI at scale—while cutting deployment toil and query times dramatically across enterprise teams. Rito’s background spans production-grade API and high-throughput systems (1M req/s work at Yahoo! JAPAN) and ML research—developing CNNs and semi-supervised data collection—bridging R&D and operational delivery. An active open-source contributor, he’s fixed core issues in NumPy, Pandas and enhanced Python bindings in Apache Arrow, demonstrating deep systems-level expertise in data serialization and numeric libraries. Based in Tokyo, he pairs a math-driven foundation (BSc, dean’s list) and an M.Eng. in computer vision with a practical knack for turning research prototypes into reliable, high-impact platform features.
11 years of coding experience
10 years of employment as a software developer
Master of Engineering (M.Eng.), Computer Vision, Master of Engineering (M.Eng.), Computer Vision at Tokyo Institute of TechnologyBachelor of Science (B.Sc.), Mathematics, Dean’s List, Bachelor of Science (B.Sc.), Mathematics, Dean’s List at Hiroshima UniversityHigh School, High School at Onomichi-Kita High SchoolChemical Engineering, Chemical Engineering at Osaka Prefecture University
Japanese, English, Spanish
Github Skills (29)
debug10
c-language10
messaging10
python10
data-science10
testing10
pandas10
data-serialization10
pulsar10
numpy10
list-processing10
serialization10
apache-arrow10
rpc10
array-map10
Programming languages (9)
Github contributions (5)
pandas-dev/pandas
Sep 2017 - Oct 2018
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Data Scientist
Data ScientistContributions:27 commits, 28 PRs, 145 comments in 1 year 1 month
Contributions summary:Rito's commits primarily focused on enhancing the pandas library, a crucial tool for data analysis and manipulation. They implemented new functionalities like `Styler.where` and added tests for sparse array features, specifically addressing data handling issues. Furthermore, the user addressed specific bugs related to groupby operations with NaT values and sparse array methods, indicating their involvement in improving the library's robustness and performance. These contributions demonstrate their understanding of data structures, algorithms, and testing methodologies within a data science context.
pythondatalabeled-datamanipulationdataframes
apache/arrow
Oct 2017 - May 2018
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Role in this project:Back-end Developer
Back-end DeveloperContributions:17 commits, 24 PRs, 47 comments in 6 months
Contributions summary:Rito primarily focused on enhancing the Python implementation of Apache Arrow, contributing several features and bug fixes to improve the library's functionality. They implemented support for `numpy.float16` serialization and deserialization within the Python bindings, and implemented bounds checking for chunk getters. They also addressed datetime conversion issues, optimized zero-copy conversions for DictionaryArrays, and fixed serialization problems related to Pandas integration, showcasing expertise in data serialization and conversion within the Arrow ecosystem.
memorymulti-languagetoolboxacceleratedarrow
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