About Pete
I work across language models, evaluation, systems-building, and technical communication.
Hi, I'm Pittawat (Pete).
I work on making language models more reliable in practice, especially through behavior shaping, reasoning, evaluation, and the engineering work needed to turn research into usable systems.
- Built for fast scanning by recruiters, hiring managers, and technical collaborators.
- Focused on what I work on, how I think, and where I have built credibility.
- Meant to complement the deeper evidence on the projects, publications, talks, and blog pages.
At a glance
The fastest way to understand what I do, how I work, and where I am operating from.
Current role
Research Scientist @ Typhoon
Reasoning models, post-training, evaluation, and applied research collaborations.
Working style
Research to systems
I like moving between ideas, experiments, implementation, and communication.
Base
Bangkok
Working with regional and international collaborators.
What drives my work
The main themes connecting the papers, models, tools, and talks.
Behavior shaping
Studying how model behavior changes under context engineering, prompting, supervised fine-tuning, and reinforcement fine-tuning.
Reasoning models
Building and analyzing open reasoning models, including Thai and medical settings where reliability matters.
Evaluation and reliability
Designing evaluations for structured outputs, failure analysis, robustness, and practical deployment risk.
Applied systems
Turning research into usable tools, experiments, and prototypes for real teams and domain experts.
What I am working on now
The current work mixes language-model research with the engineering and communication needed to make that work useful to other people.
- Studying post-training and reasoning behavior in open language models.
- Investigating inference-time strategies, context engineering, and agentic workflows.
- Working on medical reasoning and robustness in collaboration with domain partners.
- Turning current research into talks, notes, and tooling that other teams can reuse.
How I tend to collaborate
- I work with academic, clinical, and industry partners on reasoning, prompting, and domain-specific applications.
- I like projects that connect research questions to deployable prototypes, datasets, and evaluation workflows.
- My default mode is moving between ideas, experiments, implementation, and communication instead of treating them as separate jobs.
How I communicate the work
- I treat public explanation as part of the work, not as an afterthought once the work is done.
- I regularly turn experiments into talks, blog posts, internal research sessions, and reusable notes.
- I like writing while I learn because it tests whether an idea is clear enough to teach and robust enough to reuse.
Background
The longer arc behind the current research and engineering work.
I am interested in how model behavior changes under human preferences, task constraints, domain requirements, and cultural context.
My recent work concentrates on prompting, context engineering, reasoning, and post-training, especially when these techniques need to hold up outside controlled demos.
Before focusing full-time on research, I spent years building software across mobile, web, data, and developer tooling. That background still shapes how I evaluate ideas: I care about whether they can be implemented, tested, and explained clearly.
Selected milestones
A short view of the education, work, and research moments that shaped how I approach language models and systems-building.
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Feb 2026 – Present — Research Scientist, Typhoon team (SCB DataX R&I)
Advise fellow research scientists on language model research, support internal knowledge sharing, and help connect agentic AI work to product and strategy decisions.
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Oct 2024 – Jan 2026 — Research Scientist, Typhoon team (SCB 10X R&D)
Conducted research on LLM reasoning and post-training, led work on Typhoon T1, and helped drive external research collaborations.
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Sep 2024 — M.Eng., Ritsumeikan University (Valedictorian)
Graduated as valedictorian (4.93/5.00) with a thesis on null-shot prompting and hallucination in large language models.
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2022 — Research Associate (IC2, SIT KMUTT)
Led end-to-end machine learning, AR, and web projects; presented Krathu-500; and organized a Kaggle competition.
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Feb 2022 — B.Sc. Computer Science, King Mongkut's University of Technology Thonburi (First-class honours)
Graduated with first-class honours (3.99/4.00). Senior project: COEUS, automatic English mind map generation from text.
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2019–2020 — Siriraj Hospital — React Native developer
Built product features and data collection flows as part of the mobile development team.
Education
M.Eng., Intelligent Computer Entertainment Lab, Ritsumeikan University
2022 — 2024Valedictorian (4.93/5.00). Thesis: Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination.
B.Sc. Computer Science, KMUTT
2018 — 2022First-class honours (3.99/4.00). Senior project: COEUS, automatic English mind map generation from text.
Read the extended timeline
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Feb 2026 – Present — Research Scientist, Typhoon team (SCB DataX R&I)
Advise fellow research scientists on language model research, support internal knowledge sharing, and help connect agentic AI work to product and strategy decisions.
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2025 — Typhoon Application Week
Built and shipped more than seven LLM-powered applications in a rapid prototyping sprint.
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2025 — Typhoon T1 (research preview)
Contributed to the research preview of Typhoon T1, the first open reasoning model developed for Southeast Asia.
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Oct 2024 – Jan 2026 — Research Scientist, Typhoon team (SCB 10X R&D)
Conducted research on LLM reasoning and post-training, led work on Typhoon T1, and helped drive external research collaborations.
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Sep 2024 — M.Eng., Ritsumeikan University (Valedictorian)
Graduated as valedictorian (4.93/5.00) with a thesis on null-shot prompting and hallucination in large language models.
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2022 — Ethical Hacking Workshop
Completed a five-day red-team training workshop organized by NIA and NBTC.
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2022 — Research Associate (IC2, SIT KMUTT)
Led end-to-end machine learning, AR, and web projects; presented Krathu-500; and organized a Kaggle competition.
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Feb 2022 — B.Sc. Computer Science, King Mongkut's University of Technology Thonburi (First-class honours)
Graduated with first-class honours (3.99/4.00). Senior project: COEUS, automatic English mind map generation from text.
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2021 — LINE Thailand Internship
Worked on LINE Shopping as a full-stack intern, including Vue 2-to-3 migration work and microservice-related tasks.
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2020–2021 — Siriraj Hospital (Mahidol) — Tech lead and Flutter developer
Led Flutter development, helped migrate the app from React Native to Flutter, and improved app size and loading performance.
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2020 — COVID‑19 Support Platform (KMUTT)
Led a 10-person team building a COVID-19 support platform that tracked more than 300 shipments and served more than 50 hospitals.
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2020 — Huawei ICT APAC (Network Track)
Participated in the regional Huawei ICT competition with a focus on routing and switching.
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2019–2020 — Siriraj Hospital — React Native developer
Built product features and data collection flows as part of the mobile development team.
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2019 — Google Tech Challenge (Bangkok)
Competed as part of a selected team in a challenge spanning both coding and non-coding problem solving.
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2019 — Young Webmaster Camp 17th
Selected for the programming track and built an MVP for a social-impact project.