Ritta Narita

Tokyo, Japan

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Summary

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Rockstar

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Top School

Ritta Narita is a seasoned backend and systems engineer based in Tokyo with 11 years of experience building high-performance servers, logging systems, and ML tooling. With an MS in Computer Science from the University of Tokyo and a BS in Electrical Engineering from Osaka University, she combines strong academic foundations with practical contributions to major open-source projects like H2O, Fluentd, Digdag and Hivemall. Her work spans mruby-based HTTP/1–3 server components, scalable decision-tree execution via a custom StackMachine, and robust server frameworks and socket management for production logging. She is comfortable across backend, DevOps, and ML integration challenges, often improving parallel response processing and task execution reliability. An engaging presenter, she’s given talks on mruby gateways for realtime data and multiprocess Ruby servers on Windows, signaling an interest in pushing runtime boundaries. Colleagues would note her knack for pragmatic low-level changes that unlock large-scale performance and operational improvements.

12 years of coding experience

Bachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at Osaka University

University of Tokyo

Japanese, English

Github Skills (22)

back-end-development10

http10

machine-learning10

virtual-machine10

java10

ruby10

javas10

dag10

decision-tree10

fluentd10

devops10

mruby10

unit-testing9

c119

aws-ecs9

Programming languages (4)

JavaCRubyPython

Github contributions (5)

treasure-data/digdag

Oct 2019 - Jul 2020

Workload Automation System

Role in this project:

Back-end Developer

Contributions:79 commits, 41 PRs, 134 pushes in 8 months

Contributions summary:Ritta primarily contributed to the back-end functionality of the Digdag workload automation system, focusing on the Treasure Data (TD) integration. They fixed issues related to the TD operator, specifically addressing database settings for result export, and adapted the result export factory to the client factory. Further, they implemented and refactored the ECS command executor, ensuring proper task completion and log retrieval. The user's work suggests a focus on improving the integration with external data services and enhancing the robustness of task execution.

workload-automationdigdag

h2o/h2o

Jun 2017 - Nov 2017

H2O - the optimized HTTP/1, HTTP/2, HTTP/3 server

Role in this project:

Back-end Developer

Contributions:34 commits, 1 PR, 44 comments in 5 months

Contributions summary:Ritta primarily contributed to the development of mruby-based HTTP/1, HTTP/2, and HTTP/3 server components within the H2O project. Their contributions focused on implementing a channel class and associated callback functions to enable parallel HTTP response processing. They modified core files to integrate the channel functionality, including code for defining and initializing channels, handling receiver registration, and managing task execution.

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