Mai Nakagawa
Software Engineer at Mercari, Inc.
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolMai Nakagawa is a software engineer based in Tokyo with 11 years of experience building backend systems across startups and global tech firms, currently contributing at Mercari. Her background spans R&D, support, and senior engineering roles at companies including Atlassian, IPsoft, and Teradata’s Think Big Analytics, giving her a strong mix of product-facing and infrastructure expertise. She holds a Master’s in Computer Science from Chiba University and a long history of shipping reliable services from early-career work at Fuji Xerox to marketplace-scale systems. An active open-source contributor, Mai has improved core usability and Google Cloud integrations for the widely used Apache Airflow project, including implementing a CronTriggerTimetable for richer scheduling semantics. Colleagues describe her as detail-oriented and pragmatic, often improving documentation and ergonomics as well as core functionality. She combines research-era curiosity with production-hardened engineering to make complex workflows easier to build and operate.
11 years of coding experience
13 years of employment as a software developer
Master of Science (M.S.), Computer Science, 3.6, Master of Science (M.S.), Computer Science, 3.6 at Chiba University
English, Japanese
Stackoverflow
11reputation
783reached
1answer
0questions
Github Skills (13)
gcp10
apache-airflow10
google-cloud-platform10
orchestration10
workflow-engine10
data-pipelines10
data-pipeline10
python10
documentation9
cron9
google-chrome-extension6
google-chrome6
pytest4
Programming languages (9)
Github contributions (5)
apache/airflow
Dec 2021 - Dec 2023
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 reviews, 4 PRs, 33 comments in 2 years
Contributions summary:Mai contributed to the Apache Airflow project by fixing documentation, adding parameters, and implementing a new timetable feature. They addressed a typo in a docstring for the BigQueryHook and corrected documentation for the PubSubHook and Vertex AI operators. Additionally, the user implemented a CronTriggerTimetable to provide a different cron scheduling behavior. These changes indicate a focus on improving the usability and functionality of the Airflow core and Google Cloud provider integrations.
monitorpythonschedulerapacheprogrammatically
mai-nakagawa/nand2tetris
Jan 2022 - Mar 2022
Contributions:45 pushes, 1 branch in 1 month
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