National Taiwan University (NTU)
M.S. in Engineering Science and Ocean Engineering
- Thesis: Optimizing Skier Detection and Tracking in Complex Visual Environments Based on YOLOv11
Yun-Sheng Lo
AI & Computer Vision Engineer · Full-Stack Developer
- 📍 Taipei, Taiwan
- 📞 +886-908-402-550
- 📧 ee27187219@gmail.com
Profile
Engineering Science and Ocean Engineering master’s graduate from National Taiwan University, specializing in AI, machine learning, and computer vision. Experienced in applying deep-learning architectures to object detection and tracking in complex visual environments, while building full-stack development skills to deliver practical, end-to-end AI solutions.
Education
National Cheng Kung University (NCKU)
B.S. in Hydraulic and Ocean Engineering · Minor in Engineering Science
- Independent Study: Application of YOLO Image Recognition Technology in Water Recreation Activities
Experience
Union-Tech Engineering Consultants Co.
Engineering Intern
- Participated in construction supervision for public facilities and terminal engineering at the Port of Taipei.
- Received a performance rating of 91/100 (Excellent).
- Commended for strong communication, a professional attitude, and efficient execution of complex tasks.
National Taiwan University, Department of Civil Engineering
CAE (Computer-Aided Engineering) Intern
- Conducted research and data analysis focused on urban heat environments.
- Successfully completed the summer internship program and received a certificate of completion.
Technical Skills
- AI & Computer Vision: YOLO (v7–v11), object tracking, tiny-object detection, image recognition
- Programming: Python (data analysis and machine learning), TypeScript, C#
- Web Development: Next.js, React, Tailwind CSS, Vercel deployment
- Tools: Git, Linux, Markdown
Side Projects
- ClearVoice AI — AI Video Denoiser: Engineered a browser-based application integrating DeepFilterNet3 to isolate speech and automatically suppress background noise in user-uploaded MP4 videos.
- Snowboard Study Web: Developed a full-stack, Kahoot-style interactive application for CASI exam preparation using Next.js, TypeScript, and MongoDB.
- LINE Chatbot (Under Development): Designing an AI-powered chatbot using Gemini and OpenAI models to provide emotional support and automated research-progress tracking for graduate students.