Engineering
Full-stack systems from the sensor in the field to the dashboard on the desk.
- Drone thermal inspection for solar farms
- LoRa / 4G vehicle tracking on Koh Chang
- IoT PM2.5 sensors across campuses
- LARICE@608 on-premise cloud and GPU fleet

The work.
Systems that run outside a slide deck: on solar farms, across an island, in factories and in a lab I built.

LARICE@608, built from the ground up
Visit larice608.comA research lab and the platform it runs on: 10 on-premise GPUs led by an NVIDIA H100 (~120 TFLOPS FP32), 180 cores and 423 GiB of RAM across 7 hosts, a 3-node RKE2 Kubernetes cluster, FreeIPA identity, GitLab and Jenkins CI/CD, Cloudflare Tunnel and OPNsense at the edge, Prometheus and Grafana for observability, a compute ledger for GPU time, and the lab’s website. It serves researchers across ECE, MED, ME, TU-PINE and TEP-TEPE.

API-P · Aerial Process & Inspection Platform
Drone thermal imagery of solar farms, with hotspots detected per panel and pinned to a map with each frame’s GPS and EXIF data. Built for the anomaly-detection project with B.Grimm Power, and the platform behind the InCIT 2025 paper.


Koh Chang EV tracking, LoRa field investigation
Planning and prototyping a LoRa / 4G system for real-time electric-vehicle tracking on Koh Chang, Trat. Radio link profiles and tower sites were mapped across the island before anything was installed.

TSE Air Quality, PM2.5 sensor network
A multi-campus IoT sensor network for PM2.5: sensor enclosures, data acquisition, spatiotemporal analysis and a public air-quality report page.

Digital for SMEs, visualisation systems
Built the system and its measurement tools, then supported installation, so SMEs could monitor efficiency through IoT and a web application under DIPROM’s Digital for SMEs programme.
Internal ERP
Full-stack development and project management of an internal ERP system.

VeCiA, e-sport data analysis
A dashboard for an e-sport community: class distribution, PvP damage averages, member counts and activity over time.

TSE 30 Years of Success Stories
The website for Thammasat School of Engineering’s 30 Years of Success Stories.

Podoscope foot-morphology classification
Image processing on podoscope captures to segment both feet and measure the arch angle for automated foot-type classification.
Under the hood.
The engineering part of the kit. See all tech specs.
- Core web development
- HTML, CSS, JavaScript, TypeScript, Node.js, React, Laravel, Express, Next.js, Nuxt, Astro, three.js / WebGL
- DevOps & deployment
- System integration, Kubernetes, RKE2, Helm, Docker, Docker Compose, Jenkins, Git, GitLab CE and Registry, Prometheus, Grafana, NGINX, Cloudflare, Cloudflare Tunnel, Wrangler, Netlify, Vercel
- Networking & protocols
- LACP, OPNsense, Tailscale, subnet routing, DNS and mail records, MQTT, WSS
- AI & machine learning
- Artificial intelligence, deep learning, computer vision, OCR, LLM, RAG, Ollama
- Internet of Things
- LoRa, MQTT, sensor networks
- High-performance & embedded
- Embedded systems, cluster computing, HPC architectures
Try another door.
Got a project?
Let’s build it together.
Research, a field system, a project that needs a PMO, or a wild moonshot. Send a message on LINE and I’ll get back to you.
