About Me
I’m a software engineer passionate about transforming complex problems into robust, user-facing applications. Currently seeking a full-time Software Engineer role (C++/Python/embedded) starting Q4 2025.
- M.S. in Computer Science (NCHU) specializing in hybrid metaheuristics for wireless sensor networks, achieving 25%+ performance gain over benchmarks.
- Completed a 6-month C++ software engineering internship at Synopsys, delivering production-quality code within a 100-million-line codebase.
- Background in Biomedical Engineering with hands-on experience in medical AI pipelines and image processing.
Core Skills
| Category | Tools & Technologies |
|---|---|
| Languages | C/C++, Python, TCL, Shell |
| Frameworks & Libraries | Qt, TensorFlow, PyTorch, OpenCV |
| Concepts | OOP, Design Patterns, Metaheuristics, Computer Vision |
| DevOps & Tools | Git, Perforce, Linux, Docker, CI/CD, Agile |
Work Experience
Synopsys Inc. — Software Engineer Intern (Jul–Dec 2024)
- Delivered a QCefView integration POC for the Verdi debugger GUI within 6 weeks.
- Developed 5 core API suites, cutting future integration effort.
- Designed a runtime feature-switch framework, simplifying multi-class branching.
- Optimized C++ callback mechanisms, reducing page-render.
- Internship extended due to outstanding performance.
AmCad BioMed — R&D Intern (Jul–Aug 2022)
- Co-developed a YOLOv4 model that improved airway detection accuracy by.
- Automated inference pipeline, accelerating physician workflow.
- Authored Class I medical device documentation compliant with TFDA guidelines.
Education & Awards
M.S. Computer Science, NCHU (GPA 4.13/4.3, rank: 3/76 in 112 semester)
- Dissertation: Hybrid Adaptive Grey Wolf and Cuckoo Search Algorithm to Multihop Routing and Scheduling Optimization in Wireless Sensor Networks (Github)
Routing problem 
Scheduling problem - Advisor: Huan Chen (Google Scholar)
- Lab: Advanced Wireless Information Networks (Offical website)
- Selected courses:
- Algorithms(A-), Operating System(B-), Computer Vision(A), Cryptography(A-)
- Database System(A+), Assembly Language and System Programming(A-)
- Deep Reinforcement Learning(A+), Data Modeling and Data Processing(A+)
B.S. Biomedical Engineering, TMU (GPA 3.8/4.0)
- Teaching assistants: Develop customized particle tracking tools for Brownian’s motion experiment via OpenCV library and cross-correlation method.
Projects & Achievements
- 2025 Scientific Paper Award 🏆: Honorable Mention Award in the Artificial Intelligence and Information Security category (graduate) of the 2025 Scientific Paper Competition.
- 2025 LaTeX-Docker (Github): Lightweight, reproducible LaTeX Docker environment optimized for academic publishing.
- 2024 Largan Precision Scholarship
- 2023 Particle-Tracking-OpenCV Toolkit (Github): Real-time Brownian motion tracker adopted by Taipei Medical School(TMU) labs.
Award ceremony recognizing thesis excellence in AI and Information Security
Certifications
- TOEIC 865 (2025)
Extracurricular Activities
🎬 Teaching Coordinator, Filmmaking Club (2019–2022)
- simplified complex filming techniques for newcomers.
- Led photography and video production training sessions
- Emphasized “learning by teaching” and hands-on collaboration.
Teaching Coordinator, Filmmaking Club (2019–2022) Giving lesson of techniques and operation of the drone
🤿 SSI Scuba Dive Guide (2018-current)
🏃🏼 Jogger (2023-current)
Contact
📞 +886-936-556-436 ✉️ scdev0210@gmail.com
LinkedIn | GitHub | Portfolio