I am a Software Development Engineer at Amazon based in Seattle, Washington. I hold a Master's degree in Computer Science from the University of Southern California, where I focused on applying mathematical modeling and algorithmic principles to build intelligent computing systems.
My work spans scalable distributed systems, real-time architectures, and applied machine learning. I have experience with large language models (LLMs), graph processing frameworks, and high-performance computing. I am passionate about solving complex engineering challenges and building systems that operate reliably at scale.
Outside of work, I have a background in competitive programming, having represented my university at ACM ICPC Asia Regionals. I also enjoy chess and have competed at the state level.
Selected open-source work and research
A scalable cache- and memory-efficient framework for Graph Processing Over Partitions. Designed for high-performance graph analytics on large-scale datasets.
A project report on 4-factor approximation algorithms. Research on theoretical computer science and algorithm design.
Solutions to competitive programming problems from Codeforces. Covers algorithms, data structures, and problem-solving techniques.
Smart contract UI project built with Solidity and JavaScript. Explores blockchain development and decentralized applications.
Ranked 25th in Asia Regionals · 2017
Artificial intelligence programming competition · 2017
Indian Academy of Sciences · 2015
University robotics competition · 2013
State Bank of India academic scholarship · 2013
2nd place, Under-15 category · 2007
Coursera (deeplearning.ai)
edX · Apache Spark, Scalable ML, Data Science
edX (MITx)
Feel free to reach out if you'd like to connect, collaborate, or just say hello.
