PHANUDET.DEV

Résumé

Phanudet Sueaphueak

Software development, AI/ML, and cloud and DevOps — Computer Engineering graduate.

Professional summary

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

Chiang Mai University — B.Eng. in Computer Engineering — GPA 3.50 | Chiang Mai, Thailand

Technical skills

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

Selected projects

  • E-Commerce Platform — Full-stack store built from scratch and running live: checkout with stock reservation, card (3-D Secure) and PromptPay payments, shipping and tracking, loyalty points, real-time notifications, and an admin CMS — deployed by CI/CD to my HomeLab.
  • Voice PC Remote — Speak to your phone and your Windows PC does it — with no cloud AI. Speech-to-text and an LLM run on my HomeLab GPU; a policy layer and an HMAC-signed agent decide what is allowed to run.
  • GymMate — Capstone fitness platform for gym members, trainers, and gym owners: workout program builder, exercise substitution when a machine is busy, gamification, and a gym CMS with a floorplan editor.
  • Restaurant POS — Web point-of-sale for restaurants: customers order by scanning a QR code at the table, the kitchen sees orders live, and cashiers settle bills by table with cash or PromptPay.
  • MLP, Genetic Algorithm, and Fuzzy Logic — Neural networks written from scratch in NumPy: a backpropagation MLP for flood forecasting and classification, and an MLP trained by a genetic algorithm that reaches 97.5 % accuracy on breast-cancer data.
  • HomeLab and Local AI — An old PC rebuilt as a Proxmox server that runs my live projects and a local LLM on its own GPU, published through Cloudflare Tunnel with Grafana and Dozzle for metrics and logs.
  • EdVerra — Team software project where I led development, owned system design and technical direction, and evaluated whether AI belonged in the product.
  • SkillBridge — Job platform that connects people with disabilities, the elderly, and other vulnerable groups with employers — job search with filters, applications and tracking, and employer posting with admin approval.
  • Systems and Embedded Projects — The (Un)useless Box — a stress-relief toy built from logic gates, a 555 timer, and DC motors — plus an assembly-to-machine-code translator with a behavioural simulator.

Certifications

  • HCCDA – Tech Essentials (Huawei Cloud) — 2025
  • Linux Essential (Cisco) — 2025
  • Cybersecurity Essentials (Cisco) — 2025

Languages

  • English — B1 (TOEIC 665)
  • Thai — Native

Location: Nakhonsawan, Thailand. Email: [email protected].