Suyash Bhogawar is a Gen AI Solution Architect with 11 years of experience building ML and MLOps solutions, currently driving generative AI strategy and data science architecture at Rackspace Technology from Palo Alto. He blends a strong research background in neuroimaging and biomedical engineering with hands-on production experience—designing data pipelines, secure clinical data integration, and automating MRI processing workflows at Stanford, Cornell, and NCIRE. Comfortable from prototype to production, he has applied classical statistical methods, fuzzy NLP de-duplication, and modern ML to real-world healthcare problems, ensuring compliance and data quality. Known for translating complex scientific requirements into scalable cloud-native systems, he brings both domain depth in medical imaging and practical expertise in deployment and operations.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Biomedical/Medical Engineering, Master of Science (M.S.), Biomedical/Medical Engineering at The George Washington University
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering, Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering at Sardar Patel Institute of Technology, Andheri(W); Mumbai
A set of BIDS compatible datasets with empty nifti files that can be used for testing software.
Contributions:18 pushes, 6 branches in 11 months
emptysoftware-testingtestingniftidatasets
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