Experienced Biomedical AI Specialist and Technical Researcher with over 6 years of expertise in deep learning, medical image processing, and quantitative radiological analysis. Specializes in designing and evaluating computer vision models for low-dose CT (LDCT) image reconstruction, noise reduction, and diagnostic signal optimization.
Possesses strong capabilities in peer-reviewed scientific writing, systematic systematic reviews, and PRISMA-compliant literature synthesis across radiology, AI algorithmic validation, and signal processing. Proficient in Python, PyTorch, TensorFlow, OpenCV, and specialized medical imaging toolkits (DICOM, ITK/VTK). Dedicated to delivering high-precision technical documentation, algorithm validation, and state-of-the-art research execution tailored to client specifications.