cv
Basics
| Name | Bobae Jeon |
| bbj5608@gmail.com | |
| Phone | +1 (438) 934-1274 |
| Url | https://bobaejeon.github.io |
| Summary | Computer vision research engineer with a strong background in computer graphics and generative AI, specialized in video and image synthesis. |
Work
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2022.09 - 2025.05 Graduate Research Assistant
Concordia University, Montreal, QC, Canada
- Developed a visual dubbing pipeline to sync mouth expressions with a translated script
- Designed a modular framework incorporating 3D face reconstruction, StyleGAN-based autoencoder, and super-resolution
- Integrated state-of-the-art techniques for natural and high-quality results with minimal data (< 10s)
- Focused on industry-level applications, particularly TV ads, ensuring seamless viewing experience
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2022.09 - 2024.05 Computer Vision Research Intern
AudioZ, Montreal, QC, Canada
- Deployed the visual dubbing pipeline on AWS SageMaker through Dockerization, enabling direct use by the company
- ridged research and production, tailoring the system to meet client needs
- Demonstrated strong software engineering skills, ensuring ease of use
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2023.01 - 2024.12 Teaching Assistant
Concordia University, Montreal, QC, Canada
- Tutor, Lab Demonstrator & Marker for Program and Problem Solving – Taught data structures and problem-solving in Java, emphasizing memory and time efficiency through interactive sessions and hands-on labs. Also assessed student work and provided feedback
- Lab Demonstrator for Object-Oriented Programming – Guided students through practical coding exercises using Java
- Marker for Probability and Statistics and Mathematics for Computer Science – Evaluated assignments and provided feedback
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2021.08 - 2021.12 Intern in Data Processing
Gugak Broadcasting Foundation, Seoul, South Korea
- Assisted in implementing an open data API
- Edited and processed sound effect data to be distributed into an API
Education
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2022.09 - 2025.05 Montreal, QC, Canada
Master's
Concordia University, Montreal, QC, Canada
Computer Science
- Machinne Learning, Deep Learning, Applied AI, Federated Learning
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2017.03 - 2021.08 Seoul, South Korea
Publications
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2025.05.13
Awards
- 2021.12.01
Top prize
Open Data Competition 2021, Ministry of the Interior and Safety, South Korea
Competition for open data-driven web/mobile application developments
- 2022.08.01
Accepted
Open Data Application Competition 2022, Daejeon, South Korea
Competition for open data-driven web/mobile application developments
- 2022.09.06
Concordia Split Merit Scholarship
Concordia University, Montreal, QC, Canada
Skills
| Machine Learning Libraries | |
| PyTorch | |
| TensorFlow | |
| OpenCV | |
| Scikit-learn |
| Languages | |
| Python | |
| Java | |
| C++ | |
| C | |
| Javascript |
| Cloud | |
| AWS (SageMaker, S3, EC2) |
| Virtualization | |
| Docker |
Languages
| English | |
| Fluent |
| Korean | |
| Native speaker |
Volunteer
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2024.08 - 2024.08