About Me

I am a passionate and driven professional specializing in AI/ML-based solutions for medical imaging. Throughout my career, I have developed and deployed cutting-edge algorithms for clinical applications, with a strong focus on improving diagnostic accuracy and patient outcomes. I have contributed to projects that leverage AI to detect and localize conditions such as brain hemorrhages, spinal fractures, brain metastasis, and COVID-19-induced pulmonary changes.

My work involves leveraging various frameworks, including Siemens Syngo.via, MeVisLab, and VvFive, to create scalable, efficient, and accurate imaging solutions. With a solid background in software engineering, I am adept at coding in multiple languages such as C++, Python, and C# .Net, and I have a strong command over cloud-based technologies like Azure. I am committed to advancing medical imaging by continuously seeking innovative solutions and improving existing technologies through research and development.

  • AI-Driven Imaging Applications : Showcase projects like the AI CT LVO detection, MR Brain Metastasis detection, and CT CSpine fracture detection, demonstrating my expertise in developing AI models for clinical use.
  • Cloud Integration & DevOps : Highlight my involvement in cloud-based deployment and MLOps processes, detailing how I’ve contributed to efficient AI model deployment and scaling.
  • Research and Publications : Showcase my contributions to research papers, grant publications, and collaborative R&D projects, emphasizing my thought leadership and technical contributions to the field.
  • Code Repositories : Include links to GitHub repositories or similar, featuring code for various medical imaging and AI algorithms I have developed.
  • Data Pipeline Designs : Detail the automated data pipelines I've designed and developed, with insights into their functionality and efficiency in processing large-scale medical imaging data.

Quick Links

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