At Atlassian, I architected a Hybrid Search and Re-ranking engine across seven metadata signals for Statuspage auto-suggestions, reducing p95 retrieval latency from 2–5 seconds to about 200ms.
I also built a real-time multi-currency pricing data engine and designed an API gateway for JSM Stakeholder Comms, generating about 80 REST endpoints from unified GraphQL schemas.
At Flipkart, I engineered distributed pricing and metadata storage engines for 800M+ catalog entities. For Big Billion Days 2024, I built a distributed concurrency engine for lowest-price locking that processed high-contention transactions driving $500M in GMV.
Earlier, as a Data Scientist Intern at Scienaptic AI, I built data preprocessing pipelines for credit bureau datasets and tuned distributed classification models. My work spans distributed systems, search and retrieval, data infrastructure, and pricing platforms.
