Tasha Settewong
Hello, I'm

Tasha Settewong

Master’s graduate in Information Science

I am a Master’s graduate in Information Science & Software Engineering from NAIST (Japan). Under the guidance of Professor Raula Gaikovina Kula and Assistant Professor Youmei Fan, my research focuses on software processes, developer productivity, and Generative AI for test optimization. Beyond academia, I bring a proven track record of cutting time-to-market by 40% and earning an early promotion through full-stack testing, API automation, and CI/CD integration.

Connect on LinkedIn
tasha.stw@gmail.com
Tasha Settewong

Skills

Programming Languages

  • Intermediate: C, Java, Python, SQL
  • Basic: JavaScript, HTML/CSS, NoSQL

Testing & Productivity Tools

  • Testing: Selenium, Robot Framework, Postman
  • Productivity: Notion, Jira, Miro, Slack

Soft Skills

  • Critical thinking
  • Time management
  • Teamwork
  • Adaptability
  • Communication

Research Interest

Documentation

Jupyter Notebooks

Generative AI

Software Engineering

Publications

Human to Document, AI to Code: Three Case Studies of Comparing GenAI for Notebook Competitions

Tasha Settewong, Youmei Fan, Raula Gaikovina Kula, Kenichi Matsumoto | 2nd ACM International Conference on AI-powered Software (AIware), 2025

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Mining the Characteristics of Jupyter Notebooks in Data Science Projects

Choetkiertikul, M., Hoonlor, A., Ragkhitwetsagul, C., Pongpaichet, S., Sunetnanta, T., Tasha Settewong, Jiravatvanich, V, & Kaewpichai, U. | 20th International Conference on Mining Software Repositories (MSR), 2023

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Why Visualize Data When Coding? Preliminary Categories for Coding in Jupyter Notebooks

Tasha Settewong, Ritta, N., Kula, R. G., Ragkhitwetsagul, C., Sunetnanta, T., & Matsumoto, K. | 29th Asia-Pacific Software Engineering Conference (APSEC), 2022

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Reusing My Own Code: Preliminary Results for Competitive Coding in Jupyter Notebooks

Ritta, N., Tasha Settewong, Kula, R. G., Ragkhitwetsagul, C., Sunetnanta, T., & Matsumoto, K. | 29th Asia-Pacific Software Engineering Conference (APSEC), 2022

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Education

Master of Engineering, Information Science

Nara Institute of Science and Technology, Japan
2024 - Present

Software Engineering Lab. GPA: 3.80/4.00 (First-Class Honors). Received Japanese Government (MEXT) Scholarship through International Priority Graduate Programs (IPGP) for master's course.

Bachelor of Science, Software Engineering

Mahidol University
2019 - 2023

GPA: 3.85/4.00 (First-Class Honors). Received merit scholarship for outstanding grade of 4.00/4.00 for academic year 2021.

Science-Mathematics Program

Rajinibon School
2013 - 2018

GPA: 3.51/4.00

Experience

Associate Quality Assurance Engineer

Fastwork Technologies Co., Ltd.
Jul 2023 - Sep 2024

  • Collaborated across teams to perform User Acceptance Testing (UAT) and debated requirements to ensure seamless development and high product quality.
  • Developed automated API tests using Jest and Postman to validate backend reliability and facilitate efficient release cycles.

Junior Quality Assurance Engineer

Fastwork Technologies Co., Ltd.
May 2023 - Jul 2023

  • Designed manual test cases for each sprint.
  • Performed integration and E2E tests.
  • Tracked task progression and reported issues via Jira.
  • Created deployment plans and deployed services.
  • Managed high-volume customer outreach by sending electronic direct mail (EDM) and push notifications using SQL for data targeting and JMeter for performance validation.

Software Tester Intern

SmileFOKUS CO.,LTD
Feb 2023 - Mar 2023

  • Analyzed business requirements and designed test cases.
  • Performed UI tests with Python Selenium Robot Framework.
  • Executed integration tests via Postman.
  • Reported bug reports to the development team via Jira.

Researcher Intern

Nara Institute of Science and Technology, Japan
Jun 2022 - Aug 2022

  • Managed over 240,000 data points using SQL.
  • Applied association rule mining with Python to analyze data visualization.
  • Published and presented research at APSEC 2022.

Researcher Intern

Nara Institute of Science and Technology, Japan
Jun 2021 - Aug 2021

  • Researched Self-Admitted Technical Debt in software development.
  • Analyzed over 900 data points using Python and Jupyter Notebook.
  • Reported experiment results to professors and researchers.