Aman Poonia is a backend-focused software engineer with 11 years of experience building reliable, high-performance systems, most recently as a Senior Member of Technical Staff at Salesforce. He brings deep expertise in distributed databases and storage—demonstrated by contributions to high-profile Apache projects like Phoenix and HBase where he improved metadata handling, query execution, and fixed subtle deadlocks and metric issues. Comfortable moving between hands-on optimization and production-grade engineering, Aman has a track record of refactoring hotspots, eliminating unnecessary I/O, and hardening region merge and quota logic. His background spans C++ systems, NLP-driven search and recommendation work for job portals, and deployment tooling developed during early Salesforce internships. Based in Gurugram, he combines strong academic credentials (M.Tech., VIT) with a practical, performance-first approach to solving problems that make systems—and users’ lives—work better.
11 years of coding experience
8 years of employment as a software developer
Master's Degree, Computer Engineering, 8.89/10, Master's Degree, Computer Engineering, 8.89/10 at Vellore Institute of Technology
Bachelor's Degree, Computer Engineering, 8.70, Bachelor's Degree, Computer Engineering, 8.70 at Sinhgad Academy of Engineering
Contributions:19 reviews, 22 commits, 10 PRs in 4 years 3 months
Contributions summary:Aman primarily contributes to the Apache Phoenix project by implementing optimizations and bug fixes related to database metadata handling and query execution. Their work involves refactoring code, specifically moving operations out of loops and avoiding unnecessary file I/O operations to enhance performance. Furthermore, the user addresses metric reporting inaccuracies within the system, ensuring correct tracking of mutation failures. The user also works on improving code quality and addressing potential deadlocks within the indexing functionality.
Contributions:58 reviews, 29 commits, 30 PRs in 4 years 9 months
Contributions summary:Aman contributed to the Apache HBase project, focusing on improving the efficiency and reliability of the database system. They addressed issues related to data handling, including explicit casting for side effect prevention and optimizing data size calculations within the `HStore` class. Additionally, the user worked on enhancing the region merging process and fixing a rollback issue, demonstrating their understanding of HBase's internal workings and error handling mechanisms. The commits also involved code changes related to quota management and archival processes.
apache-hbaseapachedatabasejavahbase
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