Malhar Khimsaria is a software engineer with 7 years of experience building AI/ML infrastructure and developer tooling, currently on LinkedIn’s Feature Cloud team in Sunnyvale. Previously at AWS he was a core maintainer of the AWS .NET ecosystem, improving the official SDK and serverless tooling used by hundreds of services and .NET developers. He blends backend systems work with ML-aware platform thinking—earlier research and internships produced aspect-based opinion mining and practical NLP pipelines. Comfortable shipping open-source improvements that range from template generation for Lambda to API documentation fixes, he focuses on production-ready, developer-centric solutions. Malhar holds a Master’s in Computer Science from Rutgers and brings a pragmatic, documentation-minded approach that reduces friction for both users and maintainers.
7 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at University of Mumbai
Master's degree Computer Science , Master's degree Computer Science at Rutgers University
Libraries, samples and tools to help .NET Core developers develop AWS Lambda functions.
Role in this project:
Back-end Developer
Contributions:146 reviews, 41 commits, 92 PRs in 11 months
Contributions summary:Malhar focused on enhancing the serverless template generation process for AWS Lambda functions. Their contributions involved adding JSON support, implementing features like package type selection (Zip/Image), and refining the handling of IAM roles and API Gateway events. The user also addressed code quality by removing dependencies and refactoring the code, ensuring accurate template creation, and deleting orphaned lambda functions.
The official AWS SDK for .NET. For more information on the AWS SDK for .NET, see our web site:
Role in this project:
Back-end Developer
Contributions:49 reviews, 18 commits, 30 PRs in 2 years 1 month
Contributions summary:Malhar primarily focused on modifying documentation generation, specifically related to API references. Their contributions included changes to the API reference home page, V3 documentation updates for GDPR compliance, and modifications to table of contents. They also addressed issues related to unmarshalling empty shapes in the S3 service, and fixed cases related to DynamoDB DateTime attributes. The user's changes improved the accuracy and completeness of the API documentation.
dotnetweb-sitesdkaws-sdkcsharp
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.