Arnav Jindal is a Computer Science and Economics student at Duke University who builds low-latency systems and infrastructure with Rust, C++, Python, and Go. He combines academic research—optimizing Ethereum for security and decentralization and accelerating Python gRPC via Rust FFI—with hands-on industry experience at Amazon, IMC Trading, and blockchain and AI startups. Arnav has contributed to notable open-source projects including a Rust/WebAssembly image-processing library and the popular discord.py Python API, showing strength across back-end and systems-level work. He also teaches computer architecture as a TA and applies full-stack and DevOps skills from past internships to reduce deployment time and improve product usability. Based in Durham, he pairs rigorous systems engineering with cross-disciplinary interests in journalism, Formula 1, and writing, which inform his clear technical communication. A pragmatic problem-solver, he often focuses on squeezing performance from the stack while keeping user-facing reliability and accessibility in mind.
56 years of coding experience
2 years of employment as a software developer
Heritage Xperiential Learning School (Formerly known as The Heritage School, Gurgaon)
IGCSE, 9 Subjects, IGCSE, 9 Subjects at National Academy For Learning - India
Elementary and Middle School, Elementary and Middle School at Padma Seshadri Bala Bhavan Sr. Sec. School
A levels, 6 Subjects, A levels, 6 Subjects at Mallya Aditi International School
Charles III University of Madrid (Universidad Carlos III de Madrid)
Bachelor's degree, Computer Science, Economics and Journalism, Bachelor's degree, Computer Science, Economics and Journalism at Duke University
Contributions:39 commits, 12 PRs, 32 comments in 1 year 6 months
Contributions summary:Arnav primarily worked on the `photon` image processing library, implementing new native methods and modifying existing ones. Their contributions include creating functions to save images to bytes, adding image effects, and modifying existing ones. The changes demonstrate a focus on core image manipulation functionality and improving the library's capabilities, likely related to the core image processing functionality and wasm/webassembly.
Contributions:15 reviews, 7 commits, 11 PRs in 8 months
Contributions summary:Arnav primarily focused on adding features and making improvements to the discord.py library. Their contributions included adding methods and properties to existing classes, such as `url_as` and `remove_footer`, and extending the functionality of the `Colour` and `Embed` classes. They also addressed documentation issues, including grammar fixes for intents.rst and updating Python version information in the quickstart guide.
apipythonapi-wrapperdiscordbot
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