Summary
Kasidech Chumkun is a software engineer with nine years of experience building data-driven AI/ML and cloud-native systems from Bangkok. He designs and maintains structured JSON datasets and practical tooling for research and prototyping at Hedgehoglet, while publishing hands-on guides on CUDA, local LLMs, and DevOps workflows to engage the developer community. Previously he architected production data pipelines, CI/CD, and a RAG retrieval system at Osotspa for the M‑Point platform, and built serverless ML pipelines and multilingual corpora for EATLAB and Omniscien. Comfortable across GCP, AWS, Kubeflow, Vertex AI, and Docker, he blends applied research with production reliability and has led workshops training 100+ participants in Power BI. His work often focuses on making research-ready assets and reproducible deployment patterns that accelerate prototyping for teams in Southeast Asia.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at King Mongkut's University of Technology Thonburi
English, Thai, Japanese