Udayaan Nath

Delivered a highly reliable distributed cost governance service with ~99.99% availability and ~250ms p99 latency by designing and developing 10 core control-plane REST APIs. Migrated production services to Kubernetes, reducing on-call incidents by 37% while maintaining ~99.99% availability and implementing horizontal scaling to eliminate load balancer alarm noise. Spearheaded a new backend service from scratch to deprecate legacy infrastructure, delivering 42 secure Java Dropwizard REST APIs with ~99.99% availability and ~170ms p99 latency. Improved customer experience by managing budget resources across ~150,000 budgets in ~50 regions, enabling flexible multi-parameter resource search via external product integration. Reduced database memory consumption by 18% by decoupling tag metadata from the resource schema and migrating tag storage to a centralized service. Automated new region deployment for production services, reducing bootstrap time by 89% (18 hours to under 2 hours) via stri

- Independently identified bottlenecks and refactored aggregation logic in the core ABAP service API, reducing latency from tens of seconds to under 2 seconds by optimizing algorithmic complexity from O(N^3) to O(N^2). - Drove a 64% absolute increase in SonarQube code coverage (from 26% to 90%) by implementing comprehensive Python unit tests via the Django framework. - Improved operator experience by saving 1–2 hours of time spent managing ABAP-generated plot images, by building an in-app plot capture and management feature using JavaScript and a Python (Boto3) AWS S3 integration.