About
Phanudet Sueaphueak
I build software, experiment with machine learning, and explore the infrastructure behind modern applications. My approach combines practical implementation with a focus on system design, technical trade-offs, and continuous learning.
Education
B.Eng. in Computer Engineering, Chiang Mai University, Chiang Mai, Thailand. GPA 3.50.
Based in Nakhonsawan, Thailand.
Technical focus
Skills listed on the résumé, grouped by area. These are tools used in academic and personal work, not self-scored proficiency bars.
- Languages
- TypeScript · C++ · Java · Python
- Frontend
- React · Next.js · Tailwind CSS
- Backend
- Node.js · Express.js · Laravel
- Data
- PostgreSQL · SQLite · Redis
- DevOps and infrastructure
- Docker · Proxmox VE · Cloudflare Tunnel · Tailscale · Nginx · Linux
- Observability
- Grafana · Dozzle
- AI and local LLM
- Ollama · Open WebUI · RAG · Pinecone · ChromaDB
- Security and networking
- Kali Linux · Burp Suite · Cisco Packet Tracer
- Tools
- Git · Postman · Jira · VS Code · GitHub Actions · Swagger/OpenAPI
Certifications
- HCCDA – Tech Essentials (Huawei Cloud) — 2025
- Linux Essential (Cisco) — 2025
- Cybersecurity Essentials (Cisco) — 2025
Selected project experience
- Full-stack commerce platform with cart, payment, shipping, OAuth, and addresses — case study
- From-scratch MLP with genetic algorithms and fuzzy logic on WDBC — case study
- HomeLab on reused hardware for virtualization, containers, and local AI — case study
- Team lead for EdVerra system design; project owner for Skill Bridge; frontend on a restaurant POS — team projects
Engineering philosophy
Prefer implementations that can be inspected: modules with clear boundaries, evaluation methods that are written down, and infrastructure that is documented without overstating what is in production. AI is a tool to evaluate, not a default architecture.