About Me
A passionate and motivated ML Engineer & Educator. I specialize in researching and developing machine learning models for real-world applications, including eKYC systems, large language models, and computer vision for smart traffic solutions. I enjoy tackling complex challenges and turning data into actionable insights.
When I'm not coding, you can find me exploring new technologies, contributing to open-source projects, or enjoying a good music.
My Skills
Work Experience
Senior, Software Engineer
- Led a team in the design and prototyping of a Smart Traffic Management System, utilizing computer vision techniques for vehicle detection, traffic flow analysis, and incident detection.
- Contributed to the foundational research and development of a Khmer Large Language Model, focusing on data collection, model training, and fine-tuning.
- Spearheaded the design and prototyping of an innovative Khmer Keyboard layout for smartphones. This project included developing a robust next-word prediction feature, leveraging N-gram and Trie data structure algorithms for an enhanced user experience.
- Contributed to the research and development of an eKYC system, leveraging facial recognition and Khmer OCR to streamline identity verification processes.
- Mentored and guided internship students in formulating their research proposal topics, achieving a 100% success rate among all students.
Adjunct Lecturer
- Introduction to Machine Learning (35h).
- Introduction to Information Technology (45h).
- Operating Systems (135h).
Senior, Operational Report
- Designed interactive dashboards in Power BI (DAX, SSRS, SSAS) to provide real-time KPIs—credit disbursement, portfolio at risk, branch performance.
- Automated daily reporting workflows with Python scripts (pandas, pyodbc), reducing manual report generation time.
- Developed and maintained a reporting database, optimizing query performance by up to 50%.
Electronic Software Engineer
- Develop and maintain the solar tracker system.
- Research and Develop an IoT device for collecting energy data over the internet.
Education
Master of Science in Engineering
Soonchunhyang University
Focused on Machine Learning, Signal Processing, and Health Care Data.
Bachelor of Engineering in Electronic and Telecommunication
Royal University of Phnom Penh
Major in Electronic and Telecommunication.
My Top Projects
ECG Arrhythmia Classification
Classified arrhythmia heartbeats from the MIT-BIH Database using a 1D-CNN, achieving over 90% accuracy.
View on GitHub →Smart Traffic Management
Prototyped a system using Computer Vision for vehicle detection, traffic flow analysis, and incident detection.
View on GitHub →Power Consumption Forecasting
Build and train a simple LSTM model for forecasting a power consumption of commerical building and house hold.
View on GitHub →Publications
Lim, C., Kim, J., Kim, J., Kang, B. G., & Nam, Y. (2022). Estimation of respiratory rate in various environments using microphones embedded in face masks. The Journal of Supercomputing, 1-18.
Lim, C., Kim, J. Y., & Nam, Y. (2020, December). ECG signal analysis for patient with metabolic syndrome based on 1D-convolution neural network. In 2020 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 731-733). IEEE.
Get In Touch
I'm currently open to new opportunities. If you have a project in mind or just want to say hi, feel free to reach out!
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