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aman chadhaAC
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aman chadha

@amanchadha1

Backend Engineer at Supreme Court Bar Association of India who improved llama.cpp inference throughput 4x with a merged fix.

India
Message

What I'm looking for

I'm seeking backend or infrastructure roles at startups working on performance-critical systems, with the goal of growing into compiler, performance engineering, or LLM inference work.

At Supreme Court Bar Association of India, I built and operated a membership and payments platform serving 29,500+ registered members. I unified four payment products behind a shared gateway and settlement pipeline, and designed idempotent settlement workflows that processed INR 1.9+ crore with zero duplicate settlements.

In open source, I diagnosed a mutex contention bug in the KleidiAI dispatch path and contributed a fix to llama.cpp that improved token generation throughput from ~53 tok/s to ~220 tok/s on Apple M5. I also contributed merged fixes to Node.js and jQuery, and I'm building toward performance engineering and systems-level work.

Experience

Work history, roles, and key accomplishments

SI
Current

Backend Software Engineer

Supreme Court Bar Association of India

Jun 2022 - Present (4 years 3 months)

Built and operated a membership and payments platform serving 29,500+ registered members and 2,800+ monthly active users. Unified 4 payment products behind a shared gateway and settlement pipeline that processed INR 1.1+ crore during a peak renewal month.

Education

Degrees, certifications, and relevant coursework

Delhi University logoDU

Delhi University

Bachelor of Science, Computer Science

2019 - 2022

Grade: 8.0

Pursued a Bachelor of Science in Computer Science (Hons.) with a GPA of 8.0, covering coursework in data structures, algorithms, Linux, database management, object-oriented programming, and computer networking.

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