Mr. Suyash Bhogawar Affiliation: Rackspace Technology, San Jose, United States of America Specialization: Neuroscience Member Position: Reviewer Member

Member Profile

Suyash Bhogawar is an experienced AI Architect specializing in Medical Image Analysis, NeuroInformatics, and MLOps. He excels in designing, developing, and deploying scalable data pipelines and cloud AI/ML platform capabilities, particularly within the healthcare and life sciences sectors. With a strong proficiency in Python, R, cloud platforms such as AWS, Azure, and GCP, Suyash has a proven track record in driving innovative solutions and groundbreaking research. His leadership skills are evident in his ability to lead cross-functional teams and drive initiatives that contribute to the advancement of data integration, analytics, and AI/ML efforts.

Suyash's professional journey includes roles at Rackspace, where he served as a Gen AI Solution Architect, and UCSF, where he developed robust data ingestion pipelines for clinical image analysis. His work at Stanford University and Cornell University involved pioneering data engineering efforts, developing data curation workflows, and contributing to the widely accepted Brain Imaging Data Structure (BIDS) standard. Throughout his career, Suyash has focused on enhancing data processes and workflows, ensuring compliance with industry standards, and advocating for data sharing and reproducible research.

Beyond his technical expertise, Suyash is an active contributor to the scientific community, with multiple publications and presentations at international conferences. He also volunteers his time to mentor students and support community initiatives, demonstrating a commitment to both professional excellence and social responsibility.

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