Pranav Raval is a seasoned technology leader with over 20 years of experience building large-scale distributed systems and data platforms, now focused on object storage for the AI era as Lead at Shelby in the San Francisco Bay Area. He has repeatedly led high-impact infrastructure orgs—from growing Facebook’s batch compute teams that processed exabytes daily to heading infrastructure and cryptography teams at Aptos to deliver blockchain-scale performance. Pranav combines deep systems engineering with strategic execution, having retired Hive at Facebook, driven industry collaborations, and built analytics and AI platforms in healthcare and insurance that processed 100s of TBs to PB-scale. Known for hiring and scaling high-performing, cross-functional teams across geographies, he blends product sensitivity with rigorous operational discipline and a grounding in cryptographic verifiability and cost-efficient storage economics. Notably, his career arc shows a pattern of tackling the hardest systems problems—storage, compute, and large-scale data pipelines—and turning them into reliable, production-grade services. He holds an MS in Computer Science and brings a hands-on, evidence-driven leadership style that emphasizes provenance, auditability, and practical cost savings.
4 years of coding experience
11 years of employment as a software developer
MS, Computer Science, MS, Computer Science at Illinois Institute of Technology
Bachelor of Engineering - BE, Bachelor of Engineering - BE at L D College of Engineering
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