Hi, I'm Thiti Phutaarmart — a full-stack developer and NLP researcher from Thailand, currently based in Ishikawa, Japan. My research focuses on applying Large Language Models to low-resource language tasks and NLP challenges.

As a freelance developer, I've built production systems ranging from digital wallets processing 220,000+ USD/month to RAG-powered chatbots for industrial documentation. I enjoy bridging the gap between research and real-world applications.

Education

  • M.S. Information Science — Japan Advanced Institute of Science and Technology (Expected 2027)
  • B.S. Computer Science — Chiang Mai University (2021–2025, GPA 3.69/4.00, First Class Honors)

Technical Skills

  • Languages: Python, JavaScript, TypeScript, PHP, SQL
  • Frameworks: React, Next.js, Laravel, Flutter, Hono, Express.js
  • Technologies: PostgreSQL, MariaDB, Firebase, Supabase, Docker, LangChain

Publications

DREAM-LLMs: A Deliberation-Based Reasoning Ensemble Approach With Multiple Large Language Models for Term Typing in Low-Resource

ISWC 2025

We propose DREAM-LLMs: a Deliberation-based Reasoning Ensemble Approach with Multiple Large Language Models. Our method queries four advanced LLMs independently and introduces a deliberation step where one LLM reviews the others' predictions to produce a final decision. Evaluated on three low-resource domain datasets achieving F1 scores of 0.908 (OBI), 0.568 (MatOnto), and 0.593 (SWEET).

September 19, 2025 P. Wiangnak, T. Prabhong, T. Phuttaamart, N. Kertkeidkachorn, K. Shirai

Prompt-Tuning-Based Large Language Models for Term Typing

ISWC 2024

Our approach utilizes automatic prompt generation using soft prompts to enhance term typing accuracy and efficiency. Experiments on WordNet, UMLS, GeoNames, NCI, MEDCIN, and SNOMEDCT_US show our approach outperformed the baselines on most datasets.

October 1, 2024 T. Phuttaamart, N. Kertkeidkachorn, A. Trongratsameethong

Projects

Run In CMU

Run In CMU

A mobile app that tracks running routes within Chiang Mai University. Features AR filter rewards based on running performance. Built as part of the Mobile Application Development course.

February 7, 2024 → March 24, 2024

FlutterFirebaseARMobile
iTechGrad

iTechGrad

A website providing information about graduate-level education in the Computer Science department. Completed as part of the Software Engineering course and handed over for further development.

September 7, 2023 → October 5, 2023

Next.jsStrapiDocker