Azeem Shaikh is a software engineer based in New York with an M.S. in Computer Engineering and over a decade of experience building large-scale production systems at companies including Google and early-stage startups. He specializes in distributed systems, backend architecture, and machine learning pipelines, having designed asynchronous publisher/subscriber daemon architectures and Spark MLlib solutions for real-world ad and payment platforms. Comfortable across Python, Java, Scala and C/C++, he routinely applies cloud-native AWS services (Lambda, SQS, SNS, S3, DynamoDB) to solve scalability and reliability challenges. He also contributes to open-source security tooling—refactoring and improving CI/CD aspects of the well-known OpenSSF Scorecard project—bringing practical DevOps sensibilities to code quality and release automation. Azeem combines strong academic credentials (UNC Charlotte, NITK) with hands-on experience shipping production APIs and data pipelines, and is now focused on helping a game-changing startup scale.
11 years of coding experience
3 years of employment as a software developer
Master of Science (M.S.), Electrical and Computer Engineering, 3.9, Master of Science (M.S.), Electrical and Computer Engineering, 3.9 at University of North Carolina at Charlotte
B.Tech, Electronics & Communication, 7.5/10, B.Tech, Electronics & Communication, 7.5/10 at National Institute of Technology Karnataka
OpenSSF Scorecard - Security health metrics for Open Source
Role in this project:
Back-end & DevOps Engineer
Contributions:2 releases, 1150 reviews, 254 commits in 1 year 5 months
Contributions summary:Azeem primarily focused on refactoring and code deduplication efforts within the project. Their contributions involved moving and reorganizing code, as well as addressing pull request comments to improve the overall codebase quality. Additionally, the user worked on build and release automation as indicated by modifications to the `cmd/root.go` file, which is common to CI/CD or Build processes.
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