Design and develop AI models and algorithms to enhance the accuracy and efficiency of rice quality and cultivar purity inspections.

As an AI engineer, I leverage advanced technology to design, develop, and implement artificialintelligence (AI) solutions and systems. My responsibilities involve:- Acquiring and preprocessing data from various sources.- Summarizing data statistics and generating reports.- Developing data labeling pipelines for delivering data to annotators.- Training machine learning models for feature extraction and prediction.- Developing APIs and deploying AI services on cloud instances.

Manage and accelerate the development of AI innovation in healthcare and industry by integratingmultidisciplinary skills e.g. project management, software development and data science. Here are theprojects I participated in:- Real-time polyp detection on colonoscopic video stream.- Hospitalization event prediction for COVID-19 patients using community isolation data.- Depression severity classification using multi-modal features from interview videos

Develop AI models for industrial and medical services. The projects I worked on included:- Smart farming land segmentation on aerial farmland images.- Stroke subtype classification using brain CT and clinical information.- Schistocyte detection on peripheral blood smear images.

Applying data science skills to develop investment strategies for private asset management team.

Developed portfolio construction part for both KT-BRAIN and KT-BRAIN RMF, the algorithmicmutual funds launched in 2018.