Machine Learning Engineer at The Apache Software Foundation
Bengaluru, Karnataka, India
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Summary
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Rockstar
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Jyotinder Singh is a Machine Learning Engineer based in Bengaluru with eight years of experience building high-performance distributed systems, compiler-driven OLAP engines, and production ML tooling at Google. He leads quantization, JAX enablement, and developer-friendly TPU workflows for Keras and Kinetic, while co-creating DiceDB, an open-source in-memory database focused on reactive, low-latency caching. A longtime contributor and committer to Apache Ozone, he blends deep systems engineering—optimization of file-system semantics and test runtimes—with strong algorithmic and data-structure expertise demonstrated in core DiceDB implementations. Comfortable across C++, Python and full-stack tooling, he also brings leadership experience from running a 200+ student media organization, showing he scales both teams and systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Information Technology, Bachelor of Technology, Information Technology at Manipal Institute of Technology
DiceDB is an open-source, fast, reactive, in-memory database optimized for modern hardware.
Role in this project:
Back-end Developer
Contributions:4 releases, 650 reviews, 6 commits in 1 day
Contributions summary:Jyotinder contributed significantly to the DiceDB project, focusing on implementing and testing core data structures and related functionalities. The commits reveal the development of a `StackInt` data structure along with comprehensive unit tests. Furthermore, the user refactored code, fixed typos, and introduced improvements to the build process. The user also added evaluation operations for SINT and SREF commands.
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Role in this project:
Backend Developer
Contributions:125 reviews, 35 commits, 51 PRs in 8 months
Contributions summary:Jyotinder contributed to the `apache/ozone` project, a distributed storage system. Their work focused on improving the performance and runtime of tests within the `TestOzoneManagerHA` suite, indicating a focus on enhancing the system's robustness. Further contributions involved bucket layout definition, ensuring that buckets created through the OFS had the correct layout, reflecting a strong understanding of the project's architecture. The user also addressed issues related to the display of bucket information in the shell and the correct handling of bucket layouts in various scenarios like those created via link commands.
scalableredundantapachebig-dataspark
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