I’m a junior Cloud / ML engineer and international engineering student at Mae Fah Luang University, focused on building secure, scalable systems that bring machine learning into the real world. I enjoy working across the stack—from backend services and data pipelines to cloud infrastructure—turning ideas into reliable products that are easy to operate and improve over time.

Recently, I’ve been building ML-driven projects such as a dataset-based memory training assistant for people with Parkinson’s, where I implemented end-to-end data pipelines (cleaning, train/validation splits, leakage checks), integrated model outputs via API, and added privacy-aware logging and basic monitoring. I’m also developing an AI exam proctoring web platform, owning Python components like event logging, evidence screenshots, and webcam-based checks using OpenCV.

On the infrastructure side, I’m comfortable with Linux and Git, and I work with tools like Docker, Kubernetes, Terraform, Jenkins, and Apache Spark to deploy and scale systems with consistency. I’m a Grand Prize Winner in the Huawei ICT Competition (Cloud Track) and hold multiple Huawei Cloud certifications—reflecting my commitment to strong cloud fundamentals and continuous learning.

If you’re looking for someone who can connect ML, backend engineering, and cloud deployment into practical, production-ready solutions, I’d love to collaborate.