Mizuki Arai - Portfolio

About Me

Current Status: 1st-year Master's student, Department of Information Science, Ochanomizu University
Affiliation: Kobayashi Laboratory (Professor Ichiro Kobayashi)
Research Area: data-to-text / Natural Language Processing (NLP) / Machine Learning (ML)
Research Focus: Evaluating the ability of Large Language Models (LLMs) to interpret time-series numerical data

Programming Languages: Python, C++, C, Java, HTML, CSS
NLP Libraries: spaCy, NLTK, Hugging Face Transformers, OpenAI API
Deep Learning Frameworks: PyTorch, TensorFlow
Server Administration: Member of the lab's server admin team.
Others: Data preprocessing, Model implementation, Research experience in NLP.

Master of Information Science: Ochanomizu University (Apr 2025 - Present)
- Admitted through recommendation.
- Focus: NLP, ML (LLMs and time-series data interpretation).
Visiting Researcher: German Research Center for Artificial Intelligence (DFKI), Germany (Oct 2025 - Dec 2025)
Bachelor of Information Science: Ochanomizu University (Apr 2021 - Mar 2025)
- Admission: University-specific AO/Recommendation
- Sample Course Grades: Programming 4.1, Computer Graphics 3.9, Artificial Intelligence 4.0
High School: Niigata Minami high school(Apr 2018 - Mar 2021)
- General Course

Arai, M., Ishigaki, T., Miyao, Y., Takamura, H., & Kobayashi, I. (2025, Mar). "プロンプトの言語による数値時系列解釈能力の変化" , NLP2025, Nagasaki.
Arai, M., Ishigaki, T., Miyao, Y., Takamura, H., & Kobayashi, I. (2024, Nov). "大規模言語モデルの数値時系列解釈能力の検証" , IPSJ-NL Meeting, Nagoya.

Technical Staff: Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST), Language and Information Research Team (LANIRT) (May 2024 - Present)
- Conducting research on NLP technologies, focusing on evaluating LLM's numerical time-series data understanding.
Internship: CyberAgent (Aug 2025 - Sep 2025)
- AI/ML Engineer
(Expected)Internship: Rakuten (Sep 2025, a week)
- Application Engineer
Internship: AWS Boot camp(Aug 2025, 4days)
- Professional Services/Solutions Architect
Internship: alt inc. (Feb 2025 - Apr 2025)
- Built datasets for instruction pretraining.
JPHack (Nov 2024): Developed a sentiment analysis LINE bot analyzing user message tones. (Group project with members met on the day)
Conference Volunteer: INLG 2024. Tokyo, Japan (Sep. 2024)
Participant: Google STEP Educational Course (May 2024 - Jul 2024)
Private tutor: (Oct 2022 - present)
- Taught high school-level mathematics and English.
Tutor at a cram school offering both private and group lessons: (May 2021 - Aug 2022)
- Taught all subjects to elementary and junior high school students, and led group classes as a programming instructor.
Utea Virtual Project (May-Nov 2021): Developed a virtual open campus space using Blender, Unity, and Cluster.

Member, Alto Saxophone, the University of Tokyo Wind Ensemble (May 2022 - Mar 2025)