― My background
Machine learning scientist and developer with more than 15 years of total experience, including 11 years in a machine learning role and 4 years in a developer role. Additionally, I possess over five years of proven leadership as a team lead, overseeing projects both under my own direction and as a primary participant in projects funded. I have authored over 15 papers in esteemed journals and conferences as the lead author.
― Skills
Computer Vision
Large language model
Machine Learning
Deep learning
Natural Language Processing
― Work experience
Attachment Researcher
Institute for Infocomm Research (Singapore) / 2016 - 2019
Participated in a collaborative project between Japan, Singapore, and China to research and develop image processing algorithms for detecting, tracking, and classifying cell movement.
― Education
Ritsumeikan University (Japan)
Doctor of Engineering, Computer Science / 2016 - 2019
Master of Engineering, Computer Science / 2013 - 2015
Assumption University (Thailand)
Bachelor’s degree, Science and Technology / 2009 - 2012
Senior Data Scientist
ZhejiangLab (China) / Dec 2019 - Present
Leading the LLM and VLM teams, overseeing the design and development of core algorithms for both medical and satellite systems.
Freelance Software developer
Various companies (Thailand) / 2010 - 2013
Worked as a freelance software developer with various companies in Thailand, demonstrating adaptability and delivering customized solutions to meet diverse client needs.
― HYBRID model for covid-19 predictions
I conducted research and developed deep learning methods for detecting COVID-19 in patients, predicting their recovery or severity. The approach involves using clinical data (text), medical image data (image), or a combination of both clinical and medical image data (text and image) for predictions.
In 2018, I undertook my initial deep learning project, focusing on segmenting vessels from the liver. The challenge lay in the limited computational power available at the time, especially for processing 3D image data. To address this, I integrated both mathematical techniques and deep learning to find a solution.
― VesselNet: liver vessel segmentation
What I have done:
― Medical AI system (MObile and PC)
I've developed a medical AI system designed to run seamlessly on workstations (PCs), mobile phones, and tablets. The project involves three key components: a mobile application, a frontend for workstations, and backend development. The core concept revolves around enabling doctors and patients to access medical information anywhere and anytime.