About Me
With a passion for bridging engineering and healthcare, I design and develop intelligent medical systems that improve diagnostic accuracy, streamline clinical workflows, and enhance patient outcomes.
Core Focus Areas
Diagnostic Imaging: Developing algorithms for MRI, CT, ultrasound, and X-ray processing, with emphasis on image enhancement, segmentation, and automated anomaly detection.
Machine Learning in Healthcare: Building robust ML models for predictive diagnostics, risk stratification, and personalized treatment planning—trained on multimodal clinical datasets.
Software as a Medical Device (SaMD): Leading full-cycle development of FDA/CE-compliant medical software, including requirements definition, risk management (ISO 14971), verification & validation, and cybersecurity (IEC 62304, NIST).
Machine Learning in Healthcare: Building robust ML models for predictive diagnostics, risk stratification, and personalized treatment planning—trained on multimodal clinical datasets.
Software as a Medical Device (SaMD): Leading full-cycle development of FDA/CE-compliant medical software, including requirements definition, risk management (ISO 14971), verification & validation, and cybersecurity (IEC 62304, NIST).
What Drives Me
I believe technology should augment—not replace—clinical judgment. My work focuses on creating trustworthy, interpretable AI tools that radiologists and physicians can rely on in high-stakes environments. From prototype to production, I ensure every solution meets rigorous standards for safety, performance, and usability.
Currently based in Canada, I collaborate with hospitals, research labs, and health-tech startups to bring innovative diagnostic tools from concept to clinical impact.
