I build platforms other teams build on. This desk holds a few of my favourite things. Pick one up.
I’m a software engineer at Amazon in Seattle with 6+ years of building distributed systems. I’m drawn to the hard middle of engineering: platforms that many teams depend on, services that have to stay up at peak, and tools that make other engineers faster.
Recently that’s meant a shared platform that saves about 34 engineering weeks for every product built on it, a GenAI code generator that cut new-service build time from 8 weeks to 3, and readiness work that kept a checkout platform steady at 200K+ requests a second. Before Amazon, I built banking and insurance software in Hyderabad and earned an MS in Computer Science from UT Arlington with a 4.0.
Outside work, I play snooker and pool, read a lot of manga (big Naruto and One Piece fan), and I’m working on being more active.
Hawaiʻi, July 2025
Scroll or hover through the roles, and the badge keeps up. Open one to see what I built there.
I designed and built the GCP connector for Teradata QueryGrid, so customers can run federated analytics across Teradata Vantage, BigQuery and Google Cloud Storage in place, instead of migrating data first. Built with GCP engineering, Teradata's optimizer teams and Fortune 100 customers.
~80% Less integration effort for enterprise customersCoursework: Algorithms, Cloud, NLP, Machine Learning.
An orchestration system that reads invoices from Salesforce CRM, checks real-time product availability, and triggers truck dispatch automatically, cutting manual coordination and fulfilment delays.
A claims-processing pipeline that uses spaCy and BERT to extract, normalise and standardise policy terms, so claims teams spend less time reading documents and more time paying out.
~35% More efficient claims disbursement teamAn automated card issuance system for a multinational bank that ties five separate systems together over REST, with real-time credit history checks along the way.
80% Faster card issuance turnaroundA lead management system that pulls public data from the Central Bank of the UAE and turns it into reports on commercial entities, giving the bank's sales team a ready-made pipeline.
3,000+ New clients in two monthsFour pieces of my work at Amazon. The drawings are simplified. The numbers are real.
Each credit product was building its own bank-account onboarding and payment flow. I architected a shared servicing platform they can all plug into, so a new product reuses one integration instead of rebuilding it.
I built a GenAI code generator that chains prompts and step-by-step reasoning to write the API and orchestration layers of a new microservice. Teams start from a standard, working service instead of a blank repo.
Amazon One lets people pay with their palm. I helped move the card-network tokenization services behind it to an AWS-native architecture with the card networks and platform teams, then switched traffic over and retired the old infrastructure.
Before global retail peaks, I drove the scalability work on PayStation: splitting traffic with VIP partitioning and adding resilience so one bad partition can't take the others down with it.
Working on hard scaling problems, or building with GenAI? I’m always up for comparing notes.