Background
Academic Background
- Current: Master's Degree in Big Data Engineering, Chungbuk National University, South Korea
- Bachelor's Degree: SETEC Institute, Phnom Penh, Cambodia
- Professional Training:
- Certificate Course in Quantum Computing, New Delhi, India
- Huawei Cloud HCS Training, Guizhou and Hangzhou, China
- Information Security Principles Related to Cryptocurrency, Seoul, South Korea
- Computer Software Engineering, Korean Software HRD Center, Phnom Penh, Cambodia
Career
Professional Experience
- Current: Researcher, AI Convergence Lab, Chungbuk National University
- Big data engineering and applied AI
- Previously: DevOps Engineer, Digital Government Committee, Phnom Penh, Cambodia
- Cloud infrastructure for government digital services, from provisioning through day-to-day operations
- Automated deployment and release processes across environments
- Reliability and reproducibility of public-facing systems in production
Areas
Research Focus
His interests sit at the meeting point of large-scale data engineering and applied artificial intelligence, with an emphasis on the infrastructure that lets research systems run reliably outside the lab.
- Big Data Engineering: Designing pipelines that collect, process, and serve large-scale datasets
- MLOps and Deployment: Moving models from experiment to dependable production services
- Applied Artificial Intelligence: Solving real-world problems with AI, particularly in public sector settings
- Large Language Models: Practical integration of LLMs into data-driven applications
- Cloud Infrastructure: Scalable, automated environments for research and production workloads
Skills
Technical Expertise
- Cloud Infrastructure: Designing and operating workloads across Microsoft Azure and Amazon Web Services
- Infrastructure as Code: Reproducible provisioning and configuration with Terraform and Ansible
- Containers and Orchestration: Deploying and scaling services on Kubernetes
- CI/CD and Automation: Automated build, test, and release pipelines on GitHub
- Programming: Go, JavaScript, and Bash for backend services and operational tooling