Arjun Nemani is a production engineer with nine years of experience building and operating large-scale, secure systems, currently focused on production security at Meta in Dublin. He blends hands-on SRE/DevOps expertise—scaling video conferencing, automating multi-repo CI/CD, and running institute-wide services—with NLP research and a background in backend development. A prolific open-source contributor and mentor, he has fixed deployment bugs and extended schemas for blockchain subgraphs and improved cross-language linting and logging in coala. He’s comfortable across the stack (Python, TypeScript, Terraform, ELK/TIG, Docker) and has led teams and incident responses under 24/7 operational constraints. Notably, he pairs research curiosity (IIIT Hyderabad) with pragmatic production tooling, making him effective at turning experiments and POCs into resilient, observable services.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at International Institute of Information Technology
coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.
Role in this project:
Back-end & DevOps Engineer
Contributions:7 commits, 14 PRs, 301 comments in 1 month
Contributions summary:Arjun contributed to the coala project by addressing build and configuration issues, as well as enhancing logging capabilities. They modified the `setup.py` file to adjust build processes based on the operating system. The user introduced JSON logging functionality and refactored logging configurations, improving the project's flexibility and debugging capabilities. Additionally, they implemented multiline comment support within the `IgnoreResultAction` to extend language support.
Contributions:9 reviews, 8 commits, 16 PRs in 24 days
Contributions summary:Arjun primarily contributed to the backend logic and data structures of the subgraph. Their work involved fixing bugs related to deployments, schema versions, and data inconsistencies. They also added new features like event nonces, position identifiers, and updated the schema to incorporate the latest changes. Furthermore, the user modified core files with functions for creating markets and handling withdrawals.
ethereumthegraphblockchainblockchain-datasolidity
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