Jayraj Mulani is a pragmatic software engineer with eight years of experience building full-stack, cloud-native systems and production automation across startups, academia, and large enterprises. Currently an SDE II on Amazon’s Kindle Annotations team, he focuses on performant, user-centric features at scale and has a track record of cutting job runtimes and deployment times through targeted optimization. His background spans risk engineering at Goldman Sachs, Terraform-driven cloud orchestration and CI/CD at Oracle and NCSU, and leading the RABapp biosecurity project where multithreading and Lambda-based image processing boosted performance and reliability. Comfortable across Java, Python, TypeScript, Docker, Kubernetes, and AWS, he blends deep implementation skills with infrastructure-as-code and DevOps practices. Notably, he pairs rigorous academic training (MCS, 4.0 GPA) with hands-on impact—automating regulatory ETL and saving hundreds of engineering hours via patch and provisioning automation.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at North Carolina State University
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Nirma University
Python scripts for creating Smart Summaries for CSV files by translating a lua system to python.
Contributions:1 release, 38 commits, 14 PRs in 1 month
csvluapythonpython-scripts
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