SONGHIENG VAN
Phnom Penh
Summary
Computer Science student at Jinan University, fast learner with tech enthusiasm, skilled in intuitive, machine learning with a history of discovering methods to use data intelligently for enhanced user experience. Proven expertise in developing AI and machine learning solutions. . An innovative mindset allows for efficient research and prototyping of novel solutions that automate tasks and optimize data processing.
Overview
4
4
years of professional experience
Work History
Students
Jinan University
09.2020 - Current
- 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 Segmentation in Matlab.
- Experience in ML/DL: Conducted Thorough Testing of Models, Ensuring Reliable Performance Under Various Conditions on Facial Recognition with MTCNNs integrating with Anti-Spoof Detection Algorithms.
- Experience in ML/DL: Build Mask Detection Project Using MobileNetV2.
Collaboration as Deep Learning Engineer
Ministry Of Interior
Remote
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 for monitoring as maintenance
- Conducted research on Traffic Light Management by Tracking the Traffic Number from ANPR and Fine-Tuning the Pretrained Model from the COCO dataset.
Intern as Machine Learning Engineer
Neusoft Group
Full-Time
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 the Team for Vehicle Counter using OpenCV
- Designed Machine Learning Systems and Self-running Artificial Intelligence (AI) Software to Automate Classification Models on Emotional Recognition From Facial Expression.
Data Scientist
JNU Research Lab
Full-Time
02.2022 - 02.2023
- Cleaning the noise of Signal processing, artifact detection and attenuation
- Researched and Implemented in Machine Learning using Feature Engineering to Deal with High Dimensional Datasets from Signal Data
- Found Innovative Points of Electroencephalogram for Emotion Recognition.
Education
Bachelor of Science - Computer Science And Technology
Jinan University 暨南大学
06.2024
Chinese Language, Chinese Literature -
Yangzhou Polytechnic College, 扬州职业大学
09.2020
Skills
- Python Programming
- SQL
- R Programming
- C Programming
- Data Mining
- Data Processing
- Feature Engineering
- Machine Learning
- Deep Learning (Pytorch & Tensorflow)
- Computer Vision
- MLOps (Wandb, MLflow, Evidently AI)
Languages
Chinese (Mandarin)
Elementary (A2)
English
Upper intermediate (B2)
Khmer
Bilingual or Proficient (C2)
Timeline
Collaboration as Deep Learning Engineer
Ministry Of Interior
09.2023 - 03.2024
Intern as Machine Learning Engineer
Neusoft Group
04.2023 - 07.2023
Data Scientist
JNU Research Lab
02.2022 - 02.2023
Students
09.2020 - Current
Bachelor of Science - Computer Science And Technology
Jinan University 暨南大学
Chinese Language, Chinese Literature -
Yangzhou Polytechnic College, 扬州职业大学