Medical Imaging AI
Robust and interpretable methods for X-ray analysis, disease localization, segmentation, and uncertainty-aware clinical AI.
AI Researcher · Vision Engineer
Building AI Systems That See, Understand and Make an Impact
I build research-driven AI systems at the intersection of computer vision, medical imaging, explainable AI, and engineering software. My work combines scientific research with real-world product development, with a focus on trustworthy AI, visual intelligence, and deployable tools for healthcare applications.
Research Areas
Exploring key domains to advance AI for real-world impact.
Computer Vision
Weak supervision, visual explanations, temporal modeling, and next-generation vision systems for complex problems.
Explainable AI
Interpretable and trustworthy AI models, especially in high-stakes domains such as healthcare.
Research Software Systems
Practical AI software that connects experiments, model outputs, and deployable workflows.
Featured Projects
Selected research and development projects.
About Me
I am a researcher and software engineer working in artificial intelligence, computer vision, medical imaging, explainable AI, and research software systems.
My work focuses on building trustworthy and deployable AI systems that connect scientific research with practical impact.
Research Focus
AI · CV · Medical Imaging · XAI
Experience
Researcher & Engineer
Location
London, UK
Interests
Deep Learning, Vision, Healthcare AI
Quick Bio
- Passionate about solving real-world problems with AI.
- Bridging theory and deployment for impactful solutions.
- Open to research collaborations and interdisciplinary projects.
- Always learning and exploring new ideas.
Closing Statement
I am always interested in research collaborations, interdisciplinary projects, and opportunities that combine scientific rigor, software engineering, and real-world impact.