Vineet Garg is a Machine Learning Engineer based in the San Francisco Bay Area with nine years of experience building production ML systems and compressing large language models for efficient on-device inference at Apple, including work for Siri Speech. He combines a strong academic foundation (MS, 4.0, Texas A&M; B.Tech, IIT Kanpur) with hands-on systems engineering from robotics control to site reliability ML during an Apple internship. Vineet is also an active open-source back-end contributor to prominent Apache projects such as Hive and Calcite, where he fixed complex SQL query and subquery issues and improved join and materialized view behavior. His profile blends low-level signal/control expertise and large-scale data systems experience, enabling pragmatic model optimization for constrained environments.
9 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Kanpur
Master of Science - MS, Electrical Engineering, 4.0, Master of Science - MS, Electrical Engineering, 4.0 at Texas A&M University
Contributions:26 reviews, 162 commits, 54 PRs in 3 years 1 month
Contributions summary:Vineet primarily contributed to bug fixes and improvements in the Apache Hive project. Their work involved resolving check-style violations, addressing incorrect query results related to JOINs, and implementing and maintaining constraints. The user also worked on the DEFAULT keyword support with INSERT and UPDATE queries. Additionally, they touched on build process by fixing log4j import.
Contributions:19 commits, 20 PRs, 45 comments in 2 years 5 months
Contributions summary:Vineet primarily focused on enhancing the Apache Calcite project by addressing various SQL query-related issues. Their contributions include fixing bugs related to `IN` and `OR` clauses, and subqueries within `FILTER` expressions. They also improved the system by implementing better support for outer joins and sub-query handling, as well as improving the materialization view process. Furthermore, they added support for correlated `ANY/SOME/ALL` sub-queries and fixed MySQL JDBC issues.
geospatialapache-calcitesqlapachebig-data
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