Second-year Data Science & Technology student at the Faculty of ICT, Mahidol University — GPA 4.00. I build systems that read signals off human beings and turn them into decisions. The direction I'm heading is neural signal decoding: brain–computer interfaces and computational neuroscience.
If thought is information — and a brain–computer interface can decode it — then what is a mind made of?
That question isn't a research project. It's why I chose this field. The work that gets me there is concrete: signal processing, statistical learning, and computational models of how neural circuits actually compute.
| Project | What it does | Signal |
|---|---|---|
| Wi-Fi CSI Fall Detection | ESP32 reading Channel State Information — camera-free, privacy-preserving fall detection for elderly care. 3rd Place, Healthcare IoT Challenge, ICT Cup 2026. | RF channel state |
| Breath Bright | AI respiratory-health screening app built to counter youth vaping, piloted in real schools. Technical Lead — sole engineer in a 3-person founding team. | Respiratory / health |
| totan-nsc2026 | Bone-age assessment and growth tracking for Thai children, built for NSC 2026. | Medical imaging |
Different sensors, same problem: pull structure out of a noisy measurement of a human body. EEG is the next one.
| Award | Issued by | |
|---|---|---|
| Mar 2026 | 1st Place — Thailand National Championship, UBI-Alpha 2026 | MHESI |
| Feb 2026 | 2nd Place — ICTPC Programming Competition, ICT Cup | Faculty of ICT, Mahidol |
| Feb 2026 | 3rd Place — Healthcare IoT Innovation & Solution Challenge, ICT Cup | Faculty of ICT, Mahidol |
| Jan 2026 | 1st Place — Central Thailand Regional Pitching, UBI-Alpha 2026 | MHESI |
| Nov 2025 | 2nd Runner-up — PM's Award for Health Promotion Innovation | PM's Office & ThaiHealth |
| Dec 2022 | 2nd Place + JICA Excellence Award — Thailand–Japan Gaming Hackathon | JICA Thailand & KOSEN, Japan |
Eight in total — the rest are on LinkedIn.
- Looking for a first research position in EEG / biosignal decoding. Undergraduate, unpaid is fine — I'm after the reps, not the stipend. Salaya, Bangkok, or remote.
- Working through the ML → Deep Learning → RL sequence, publishing my notes and test-driven exercise sets as I go
- Reading Theoretical Neuroscience (Dayan & Abbott) and Reinforcement Learning: An Introduction (Sutton & Barto)
- Studying Japanese — JLPT N5, working toward N4
Core Python NumPy SciPy pandas Matplotlib pytest Git
ML PyTorch scikit-learn XGBoost Azure Custom Vision
Signal MNE-Python ESP32 / Wi-Fi CSI
Build TypeScript React Next.js
totan-nsc2026 — Bone-age assessment and growth tracking for Thai children, NSC 2026. Medical imaging → prediction → an interface a clinician can actually use. TypeScript
AI-SelfLearning — Notes and exercise sets for the Machine Learning Specialization, written as runnable, test-driven Python rather than passive note-taking: every drill starts red and has to be made green. Python
n3ptz.github.io · LinkedIn · donyakrit.p@gmail.com · Salaya, Thailand