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Hi, I'm Sovanreach

Applied AI Engineer & Researcher

Hi there! I'm Sovanreach, a backend developer, an IT instructor, Big Data & AI & Computer Vision engineer.

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About Me

My Introduction

An applied AI engineer specializing in applied computer vision and AI with over 7+ years in software development and 5+ years in ML, AI, and CV. My work focuses on real-world applications in safety, healthcare, and surveillance, using deep learning frameworks for image and video analysis, object detection, and pattern recognition. With strong Python/C++ skills and extensive experience in computer vision libraries, I have contributed to projects spanning medical imaging and real-time video analysis, bridging AI and big data to develop scalable, impactful solutions for safety and compliance across industries.

kv.sovanreach@gmail.com
Phnom Penh, Cambodia
AI, ML, CV, Big Data
Download Resume

Skills

My Tech Stack
Programming Language Python (+++), Java (+++), C++ (++), Bash (++), GoLang (++), R (++), PHP (++)
Data Science Framework Pandas, Numpy, Pillow, OpenCV, Tensorflow, PyTorch, Keras, Matplotlib
Web Framework Flask, NodeJS, Springboot, Laravel
IDE & Tool Jupyter, VSCode, IntelliJ, Eclipse, XCode, Android Studio, Git, Docker
Database MySQL, MongoDB, PostgreSQL
OS Ubuntu, Windows, MacOS

Qualification

My Personal Journey
Education
Work

PhD Candidate

Chungbuk National University
2022.03 ~ Present

Master's Degree

Chungbuk National University
2020.03 ~ 2022.02

Bachelor Degree

The University of Cambodia
2014.11 ~ 2019.12

IT Professional Training (Advanced)

Korea Software HRD Center
2018.10 ~ 2019.02

IT Professional Training (Basic)

Korea Software HRD Center
2018.04 ~ 2018.08

Research Assistant (Phd)

Chungbuk National University
2022.03 ~ Present

Research Assistant (MSc)

Chungbuk National University
2020.03 ~ 2022.03

IT Instructor

Korea Software HRD Center
2019.03 ~ 2020.02
Publication

[J*]: Journal Publication, [C*]: Conference Publication,[D*]: Graduation Dissertation

[J4]Kong, V., Lee, E. Y., Kim, K. A., & Shon, H. S. (2024). Integrating Super-Resolution with Deep Learning for Enhanced Periodontal Bone Loss Segmentation in Panoramic Radiographs. Bioengineering, 11(11), 1130.

[C3]Soeng, S., Kong, V., Cho, W. S., Kim, J. S., & Kim, T. K. (2023). Automated Detection of Motorcycle Rider Without Wearing Helmet Using Surveillance Camera. 한국경영정보학회 정기 학술대회, 896-898.

[J3]Kong, V., Somakhamixay, O., Cho, W. S., Kang, G., Won, H., Rah, H., & Bang, H. J. (2022). Recurrence risk prediction of acute coronary syndrome per patient as a personalized ACS recurrence risk: a retrospective study. PeerJ, 10, e14348.

[J2]Shon, H. S., Kong, V., Park, J. S., Jang, W., Cha, E. J., Kim, S. Y., ... & Kim, K. A. (2022). Deep Learning Model for Classifying Periodontitis Stages on Dental Panoramic Radiography. Applied Sciences, 12(17), 8500.

[D1]Kong, V. (2022). Design and Implementation of a Workflow and Orchestration Tool for Building Machine Learning Model. Chungbuk National University

[C2]Vungsovanreach, K., Choi, E. S., Shon, H. S., Cha, E. J., Kim, K. A., & Cho, W. S. (2021). Comparison of Classification Techniques based on Feature Extraction and Imbalanced Data Processing. 대한전기학회 학술대회 논문집, 1886-1887.

[C1]최은선(Eun-Seon Choi),Kong Vungsovanreach,조완섭(Wan-Sup Cho),김재성(Jae-Sung Kim),이경희(Kyung Hee Lee),손호선(Ho Sun Shon),and 최성곤(Seong Gon Choi). "스마트팩토리 데이터를 활용한 클래스 불균형문제 해결 방법 비교." 한국통신학회 학술대회논문집 2021.6 (2021): 86-87.

[J1]Aing Teckchun, Kong Vungsovanreach,김옥기,이경희,and 조완섭. "블록체인 자동화도구 개발과 전자투표 적용사례." 한국빅데이터학회 학회지 6.2 (2021): 151-159.