Ravi Jadhav is a Solutions Developer at AWS with eight years of software engineering experience building backend systems and developer-facing solutions from fintech to streaming. He spent multiple years at Amazon/Prime Video optimizing playback and classification platforms, and now crafts customized AWS solutions that bridge product needs and scalable cloud architectures. Ravi holds a Master's in Computer Science from Stony Brook and a BEng from the University of Mumbai, combining strong academic foundations with hands-on delivery at large enterprises like Goldman Sachs. Known for tackling hard reliability and performance problems, he brings a pragmatic, systems-first approach and a track record of shipping production services that improve customer experience.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BEng), Computer Science, Bachelor of Engineering (BEng), Computer Science at University of Mumbai
Master's degree, Computer Science, Master's degree, Computer Science at State University of New York at Stony Brook
Visual Asset Management System (VAMS) is a purpose-built, AWS native solution for the management and distribution of traditional to specialized visual assets used in physical AI and spatial computing.
Contributions:3 releases, 60 reviews, 44 commits in 4 months
This repository contains samples of Serverless application code.
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