AI and Electrical Engineer with extensive experience in medical imaging, machine learning, and cloud-based AI deployment.
Proven ability to design, build, and scale end-to-end ML pipelines from data preprocessing and model development to deployment on GCP Vertex AI, Docker, and Kubernetes.
Skilled in developing real-world healthcare and neuroimaging applications using Python, C++, and PyTorch, and integrating tools such as FSL, Freesurfer, and SPM.
Adept in applying MLOps best practices, optimizing model performance, and leading interdisciplinary projects that translate research and data science innovations into deployable solutions that improve clinical outcomes.
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