Raman Verma is a seasoned software engineer with 11 years of experience building high-performance storage and data management systems, currently focused on Kafka storage at Confluent and read-performance engines at Riverbed. He has deep systems-level expertise in C++, Python, and Unix environments, and a proven track record designing tiered storage, backup/recovery solutions, and VM-aware backup systems that reduce operational cost. At Riverbed he implemented novel, file-system-agnostic read-ahead algorithms using FP-Growth, bridging data-mining research with production storage code. His work spans low-level file system integration (VMFS, NFS) to cloud object storage backends and test infrastructure improvements like containerized unit testing. Raman also contributes open-source tooling, including a pthread-based user-space taskqueue library, reflecting a practical focus on concurrency and efficiency. Based in the San Francisco Bay Area, he combines research-driven curiosity with production-grade delivery on large distributed storage platforms.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering, Electronics and Communications, Bachelor of Engineering, Electronics and Communications at Chhotu Ram State College of Engineering
Master of Science, Computer Science, Master of Science, Computer Science at Illinois Institute of Technology
Contributions:5 pushes, 1 branch in 3 years 8 months
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