Actively Looking for Work
I have built a strong and diverse technical foundation that spans medical imaging, AI, computer vision, and full-stack software engineering. I specialize in C++ and Python, with a proven ability to architect, implement, and deliver robust and high-performance solutions used in real-world clinical, research, and industrial contexts.
My career has taken me across Europe, and Asia allowing me to work in multicultural teams and contribute to international projects. I began at INRIA, a top-tier research institute in France, where I transformed academic algorithms into practical software tools for clinical studies. I then joined the National University of Singapore, developing full-scale image processing solutions using modern C++ (with Qt and ITK), covering both backend algorithms and user-facing GUI. In my most recent role, I served as a Lead Developer for four years, managing a team, conducting code reviews, and overseeing the full development lifecycle of commercial and research software.
In addition to my industrial work, I’ve co-authored one peer-reviewed journal article on deep learning-based image segmentation using U-Net, showcasing my ability to bridge advanced research and practical implementation. My experience also includes designing user interfaces, optimizing performance, managing Git-based workflows, and contributing to clinical tools used by practitioners.
I’m now exploring opportunities beyond the medical domain, where my solid foundation in software architecture, image processing, and AI can bring value. I’m quick to adapt, skilled at problem-solving, and motivated by meaningful challenges—whether they involve designing low-level systems, integrating AI pipelines, or improving usability in complex software.
I’m driven by the desire to build powerful, elegant, and efficient software—tools that empower users and solve real problems. I’m open to opportunities in any domain where advanced software development, AI, or image analysis plays a key role.