Animesh Pathak
Production Engineer at Meta
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAnimesh Pathak is a Production Engineer at Meta with a decade of hands-on experience building and optimizing distributed systems, kernel-adjacent components, and security-focused infrastructure. His background includes significant backend and performance work at Dgraph Labs—where he improved write throughput with a “Ludicrous mode,” implemented predicate-based ACLs, and fixed concurrency bugs—and contributions to the high-performance Dgraph graph database addressing race conditions and latency monitoring. Prior roles span robotics routing and orchestration at Starship Technologies, DevOps for bare-metal DC bootstrap at PhonePe, and systems tooling and observability work that consistently reduced latency and memory footprints. He blends low-level systems thinking with practical production engineering, favoring profiling and tracing to root-cause performance issues. Based in Bellevue, WA, he balances deep technical curiosity with real-world impact and even finds time to unwind by playing pool.
10 years of coding experience
6 years of employment as a software developer
Higher Secondary Science, Higher Secondary Science at Sunbeam school BhagwanpurBachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at International Institute of Information Technology Hyderabad (IIITH)Secondary Education, Secondary Education at Devsangha National School
English, Hindi
Stackoverflow
119reputation
382reached
2answers
2questions
Github Skills (17)
databases10
go10
performance-optimization10
concurrency10
database10
golang9
distribute9
data-structures8
knowledge-graph8
data-structure8
testing8
detach6
pthreads6
emacs6
facebook-graph-api6
Programming languages (9)
Github contributions (5)
dgraph-io/dgraph
May 2019 - Oct 2020
high-performance graph database for real-time use cases
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 reviews, 88 commits, 132 PRs in 1 year 5 months
Contributions summary:Animesh primarily contributed to the core functionality and performance optimization of the Dgraph graph database. Their commits focused on resolving race conditions, ensuring atomic access to critical data structures, and implementing performance improvements related to query latency. Furthermore, the user added new features, such as comprehensive latency metrics to the increment tool, highlighting their focus on performance monitoring and debugging. The contributions demonstrate a strong understanding of concurrency, data structures, and database internals.
graph-databasedatabasedistributedgoknowledge-graph
animesh2049/animesh2049.github.io
Nov 2020 - Sep 2025
Contributions:7 pushes, 1 branch in 4 years 11 months
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