I am a Software Engineer dedicated to making AI scalable and systems unbreakable. I solve engineering problems at scale by designing, developing, and maintaining large-scale distributed data systems, utilizing deep technical debugging to drive reliability, scalability, and maintainability.
Currently, I am pursuing my Master's in Computer Science at the University of Colorado Boulder. Parallel to my studies, I focus on the infrastructure of intelligence. At NetApp (internship), I am building the automation layer for the AI Data Platform, shipping Kubernetes Operators (Patent Pending) that orchestrate the lifecycle of platform components powering Document Classification, Governance, RAG, and Semantic Search pipelines. Simultaneously, at the BASIL Lab (part of CU Boulder's Computer Systems group), I research LLM inference optimization by developing disaggregated KV-caching strategies to make models faster and cheaper.
My systems pedigree was forged in the trenches of hyper-scale e-commerce at Flipkart. As a core member of the Engagement Platform team, I took end-to-end ownership of distributed backends that survived the "thundering herd" by sustaining millions of concurrent users and absorbing 10,000+ transactional writes/second during massive flash sales.
I bridge the gap between "works on my machine" and "works at planet scale," specializing in Go, Kubernetes, and Distributed Systems.
I believe strong engineering requires a clear mind and a strong body. Living in Boulder, Colorado, I take full advantage of the Rockies:
CS Grad @ CU Boulder. SWE Intern @ NetApp. Passionate about Distributed Systems, AI/ML Infrastructure, and High-Performance Computing.