Summary
Ravi Sharma is a computer scientist with six years of hands-on experience designing and optimizing storage and distributed systems, currently contributing at Adobe. He specializes in C++, system-level modeling with SystemC, and performance-driven virtual prototyping to identify and resolve bottlenecks across storage data paths. At Western Digital he drove measurable gains—improving performance by up to 17%, reducing SSD erase cycles by 7–8%, and boosting burst/sustained throughput—through algorithmic and state-machine optimizations. Ravi pairs strong data-structures and algorithms expertise with practical benchmarking and block-budget analysis across SATA, USB, and NVMe workflows. Comfortable moving between modeling, firmware collaboration, and Python-based analytics, he brings a pragmatic, metric-focused approach to complex systems engineering. Based in New Delhi, he leverages a BTech in EEC from IIIT-Delhi to bridge academic rigor with production impact.
6 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering at Indraprastha Institute of Information Technology, Delhi
English, Hindi