Balajee Nagasubramaniam
Senior Software Engineer II at Uber
Dublin, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBalajee Nagasubramaniam is a Senior Software Engineer II with a deep specialty in distributed systems, networking infrastructure, and high-performance storage, currently driving core platform work at Uber. He brings decades of systems-level experience across FreeBSD, Plan9, VxWorks and Linux kernels, with strong expertise in kernel networking stacks, memory management, schedulers, and concurrent real-time programming. His background includes load balancing across SMP cores and cluster nodes, implementation of consensus-like protocols, and performance profiling to remove bottlenecks—work that led to four patents in distributed systems and security. A practical open-source contributor, he has improved Apache Hudi internals for efficient on-disk maps and spillable data structures, demonstrating attention to both algorithms and IO efficiency. Balajee pairs low-level C/C++ mastery with familiarity in Go, Java and cloud-native tooling (Docker, Kubernetes), and notably implemented IPv6 support on Plan 9 from scratch—an example of his willingness to tackle infrastructure challenges end-to-end.
6 years of coding experience
25 years of employment as a software developer
MSc, MSc at PSG - Bharathiar University - IndiaMBA, MBA at Carnegie Mellon University - Tepper School of BusinessBSc, BSc at Madurai Kamaraj University - India
Github Skills (11)
file-processing10
file-handling10
javas10
big-data10
file-access10
fileio10
java10
data-engineering10
data-structure9
data-structures9
unit-testing9
Programming languages (1)
Github contributions (4)
apache/hudi
Jan 2020 - Mar 2021
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:65 reviews, 10 commits, 16 PRs in 1 year 2 months
Contributions summary:Balajee primarily contributed to the Apache Hudi project by enhancing the `DiskBasedMap` used by `ExternalSpillableMap` for optimized read/write operations. They improved the `BufferedRandomAccessFile` to reduce disk operations and implemented additional unit tests to enhance test coverage. The user also made changes to the Hudi test suite, specifically focusing on supporting schema evolution, handling potential stage failure scenarios during data merging and improving functionalities of FSUtils.
stream-processingbigdatahudiincrementalapacheflink
nbalajee/incubator-hudi
Nov 2019 - Jul 2023
Upserts And Incremental Processing on Big Data
Contributions:64 pushes, 16 branches, 1 issue in 3 years 8 months
bigdataincrementalincremental-processingmachine-learningbig-data
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