Hello, I'm
With 4 years of experience in Full Stack web development and Medical Imaging, now exploring Machine Learning and Generative AI.
Work Experience
Full Stack Software Engineer
Vysioneer Inc., Taipei, Taiwan
Aug 2024 – now
- Designed and implemented a cloud-based platform for medical professionals and independent readers to manage clinical data from hundreds of patients, create annotation records, and integrate AI pipelines for prospective trial analysis. (React.js, FastAPI, GCP, MongoDB)
- Built a distributed cloud architecture by integrating third-party solutions, reducing clinical data download time by 45% for global collaborators. (GCP, MongoDB, Docker, Kubernetes)
- Provided on-site customer support, deploying upgraded AI models to hospital servers and improving solution accuracy and efficiency in treatment planning. (Linux, Shell scripting)
- Prepared product demos for ASCO (2022, 2024, 2025), showcasing AI-assisted tumor segmentation solutions and increasing company visibility and engagement. (React.js, Next.js, Docker, Nginx)
Front-End Software Engineer
Vysioneer Inc., Taipei, Taiwan
Aug 2021 – Jul 2024
- Developed an AI-assisted tumor segmentation application for radiation treatment planning, applying advanced image processing algorithms across front-end and back-end systems to improve contouring speed and accuracy. (React.js, FastAPI, scikit-learn, scikit-image, Firebase)
- Implemented unit and end-to-end automation tests, increasing test coverage by 30%, ensuring system robustness, and reducing manual workload. (Node.js, Jest, Cypress)
- Designed data collection, preprocessing, and QA workflows for retrospective clinical trials covering hundreds of patients, and built automated image quality checks to reduce manual effort and QA time by over 50%. (Python, pandas, Selenium)
- Collaborated with National Taiwan University Hospital, Stanford University, and Pfizer on retrospective clinical trial studies, contributing to data postprocessing, analysis, and visualization. (Python, pandas, matplotlib)
Education
Machine Learning (Online Non-Credit Course)
Stanford Online, Coursera, Remote
Sep 2025 – Oct 2025
B.S. in Architecture (Engineering Division)
National Cheng Kung University, Tainan, Taiwan
Sep 2015 – Jun 2020
Relevant Coursework
- Algorithms (A+)
- Java Programming (A+)
- Python Programming (A+)
- Calculus (A+)
- Applied Linear Algebra (A)
- Smart Cities (A)
Non-Graduated Exchange Program
National University of Singapore (NUS), Singapore
Aug 2019 – Dec 2019
Relevant Coursework
- Options Design Research Studio 1 (A)
Portfolio
Cloud-Based Medical Imaging Platform with AI-Assisted Segmentation
2025
A cloud-based medical imaging platform that integrates interactive DICOM visualization with AI-assisted segmentation, enabling clinicians to review and annotate medical images collaboratively and efficiently.
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2D-to-3D Room Design: Creating Immersive Virtual Interiors
2021
An interactive web application that enhances customer engagement by allowing users to design and visualize room layouts in 3D. Users can experiment with furniture placement, rotate and scale items, and instantly see the effects, creating a personalized and immersive interior design experience.
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Data-Driven Urban Traffic and Parking Management for Autonomous Vehicles: A Case Study of Taipei
2020
A data-driven predictive models for traffic flow, parking availability, and dynamic pricing, combined with optimization algorithms for autonomous city parking management. The proposed framework is evaluated using empirical data from Taipei.
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Digital Reconstruction of Chihkan Tower: From Historical Literature to Virtual Representation
2020
By analyzing historical documents and employing digital modeling techniques, this research aims to restore and visualize the historical appearance of Chihkan Tower, providing new perspectives for cultural heritage preservation and public engagement.
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