Akshay Neema is a Machine Learning Engineer and UMass Amherst MS candidate with eight years of software engineering experience spanning cloud backup services, embedded device management, and foundational ML for pathology. Formerly at Microsoft and Samsung, he shipped production-grade features for Azure Backup (including incremental/snapshot backups and CLI enhancements) and contributed notable open-source fixes and capabilities to the Azure CLI and its extensions. At Valar Labs he transitioned from an ML intern building pathology foundation models to a full-time role, blending domain ML with systems-level engineering. He holds a BTech from IIT Delhi and has a track record of improving reliability and observability (resource guards, AzMon alerts) in large-scale cloud services—an indicator of his focus on robust, production-ready ML systems.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Massachusetts Amherst
Contributions:81 reviews, 40 commits, 46 PRs in 1 year 10 months
Contributions summary:Akshay's primary contributions focus on enhancing the Azure CLI for backup and recovery operations. They implemented support for creating and managing IaaSVM backup policies, fixed various bugs related to key errors, and improved the CLI's error handling. Furthermore, the user added new features, including support for AzureWorkload protection undelete and various cross-region restore functionalities. These changes demonstrate a focus on expanding the capabilities and stability of the Azure CLI's backup module.
Contributions:28 reviews, 7 commits, 7 PRs in 1 year
Contributions summary:Akshay primarily contributed to the Azure CLI extension for Data Protection. Their work involved implementing features for new OSS workloads, adding stop/resume protection commands, and upgrading the API version. They also added resource guards and AzMon alerts, as well as custom tags for backup instances. Furthermore, the user made changes to help documentation, setup files and vendored SDKs.
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Akshay Neema - Machine Learning Engineer at Valar Labs