Motivated AI and software engineer with a strong academic background and hands-on experience in machine learning, algorithm design, and data analysis. Holds a Master of Engineering in AIoT from Kasetsart University (in collaboration with Tokyo Institute of Technology and NSTDA) with a focus on interpretable clustering and unsupervised learning. Proven track record in developing intelligent systems for garment automation, defect detection, and pattern recognition. Experienced in cross-functional collaboration, research publication, and delivering production-ready solutions in both industrial and research environments. Pursuing full-time role that presents professional challenges and leverages interpersonal skills, effective time management, and problem-solving expertise.
Title:
Discriminative Dimension Selection for Enhancing the Interpretability and Performance of Clustering Output
Authors:
Hrang Kap Lian, Kitsana Waiyamai (KU), Konstantinos Slavakis (Tokyo Tech), Choochart Haruechaiyasak (NECTEC)
Conference:
16th International Conference on Knowledge and Smart Technology (KST 2024)
Organized by the Knowledge and Smart Technology Research Lab, Faculty of Informatics, Burapha University, Thailand
Endorsed by IEEE Thailand Section, Computer Chapter
ISBN: 979-8-3503-7073-7
NTT Data Scholarship 2019,
National Science and Technology Development Agency, Thailand (TAIST-Tokyo Tech) Scholarship 2022
Thai Language for Communication in Daily Life for Foreigners - Kasetsart University
LCCI Level I, II - Luan Dim Education Center
Introduction to Structured Query Language
Programming for Everybody(Getting Started with Python)
Intermediate English Course - World English Institute(WEI)
Thai Language for Communication in Daily Life for Foreigners - Kasetsart University
The Data Analytic Course - 365 careers, Udemy
Supervised Machine Learning: Regression and Classification - Deeplearning.AI, Coursera
Building Web Application in PHP - University of Michigan
Building Database Application in PHP