Experience in Front End: React and Vue for Building AI Interface.
Experience in Back End: Django, Flask.
Experience in Machine Learning: Build Mask Detection Project Using MobileNetV2.
Experience in Data Mining: Collect Data from Ministry and Build Price Prediction of Cambodian Rice Prediction Using Five Different ML algorithms.
Experience in Data Processing: Automating Routine Tasks with Python Scripting, Reducing Time Spent on Manual Processing Significantly.
Experience in Image Processing: Build Hemorrhagic Brain Stroke Detection using Convocational Neutral Networks in Matlab.
Experience in Machine learning: Conducted Thorough Testing of Models, Ensuring, Reliably and Performance Under Various Conditions on Facial Recognition With MTCNNs integrat with Anti-Spoof Detection Algorithms.
Researched and Implemented Best Practice in Feature Engineering to Deal with High Dimensional Dataset and Found an Innovative Point of Electroencephalogram for Emotion Recognition.
Internship Student
Neusoft Group, 东软集团
04.2023 - 07.2023
Reported back to instructor to receive day-to-day tasks and responsibilities by efficiently managing assigned tasks and meeting deadlines.
Developed innovative AI solutions with Team for Vehicle Counter using OpenCV.
Designed Machine Learning Systems and Self-running Artificial intelligence (AI) Doftware to Automate Classification Models on Emotional Recognition From Facial Expression.
Collaboration
Ministry Of Interior
09.2023 - 03.2024
Designed and implemented robust AI Prototype by applying Deep Learning and Neural Network Architectures on Automatic Number Plate Recognition using YoloV8 with Wandb for MLOps.
Doing Research on Traffic Light Management by Tracking the Traffic Number from ANPR and Fine-Tunning the Pretrain Model from COCO dataset.
Education
Bachelor of Science - Computer Science And Technology
Assistant Researcher at Medical Imaging Center, First Affiliated Hospital of Jinan UniversityAssistant Researcher at Medical Imaging Center, First Affiliated Hospital of Jinan University