ML/DL Engineer
- Deep interest in music-related applications/models.
- Rich experience including leadership in an indie band, managing a DSP group study
- Enjoying deep studying and insights driving.
- Eager to be an engineer who defines problems from various aspects and creates innovative solutions.

Skills
- Languages: Python, JavaScript, C, C++, Java, Matlab
- DL/ML: TensorFlow, PyTorch, Scikit-Learn
- Audio DSP: librosa, JUCE
- Web: Node.js, React.js, Spring
- Etc: Git, Docker, AWS
Contacts & Blogs
Education
Pusan National University: Electronic Engineering
- Major, Bachelor’s Degree
- Period: March 2017 – February 2024
- Main Lectures: Computer Architecture, Numerical Analysis, Linear Algebra, Control Engineering, Digital Signal Processing
- Experience in creating a Graphic EQ VST with an IIR filter and C++ JUCE Framework.
- Modeled and applied waveform-based, spectrogram-based Audio DSP DL/ML in the graduation project.
Pusan National University: Computer Science and Engineering
- Minor, Bachelor’s Degree
- Period: September 2022 – February 2024
- Main Lectures: Data Structures, Web Programming, Linux, C++/Java based OOP
Pusan National University: Backend Mini Bootcamp
- Completed
- Period: September 2023 – December 2023, Saturdays 09:00 – 18:00
- Learned:
- Mechanisms of SpringBoot like DI, IoC, MVP.
- Differences between JDBC and JPA.
- Web application builder: Gradle, Docker (also in deployment).
- Deployment: AWS, GitHub Actions.
Project
Graduation Project