People

Wachira Muanyoksakul

Wachira Muanyoksakul is a recent graduate with a Bachelor of Engineering in Civil Engineering from Chulalongkorn University, Bangkok, Thailand. With a strong foundation in transportation engineering, Wachira has gained practical experience through internships and research assistant roles. Notably, he interned at the State Railway of Thailand (SRT), where he was involved in track inspection, ballast and subgrade material analysis, and maintenance tasks.

Wachira’s research interests focus on railway infrastructure, specifically in areas such as flood risk assessment of railway tracks and the use of machine learning for predicting buckling failures in ballasted tracks. His work has been recognized in international conferences and is currently under review in prominent journals.

In addition to his technical skills in programming languages like Python and engineering software such as AutoCAD and Solidworks, Wachira is multilingual, with proficiency in Thai, English, and basic knowledge of Russian. He has also participated in various extracurricular activities, including hackathons and seminars related to public transportation systems.

Wachira’s dedication to his field is further demonstrated by his certifications, including a course in high-speed rail systems and a basic amateur radio operator license. He is committed to advancing his career in civil and transportation engineering, with a particular interest in railway systems and safety.

Kittipat Phunjanna

Kittipat Phunjanna is a dependable and self-motivated data scientist with a proven track record in developing models using Python and TensorFlow. He has strong communication skills and a keen interest in applying his knowledge in the industrial sector. Kittipat completed his Bachelor of Engineering in Electronic Engineering at The Chinese University of Hong Kong, where he graduated with First Class Honours, achieving a Major GPA of 3.591/4.000.

During his summer internship at High Tech Technology Limited in Hong Kong, Kittipat contributed to the development and launch of an IoT product that enhanced the company’s brand awareness. His role involved collaborating with the marketing team and using C++ and JavaScript to meet customer expectations and standards.

Kittipat has also worked on several projects, including a Pokémon card recognition system utilizing a deep neural network model and an automatic face smoothing application using image processing techniques in Python. His expertise extends to participating in data science competitions, such as predicting cirrhosis outcomes on Kaggle, where he achieved over 84% accuracy.

Fluent in both Thai and English, Kittipat is skilled in computer vision, deep learning, regression and classification, and time series analysis. He also holds a certification in SQL from Simplilearn, further solidifying his technical abilities.