At IBM, I built a Python-based resource orchestration system that automated provisioning application dependencies, including Redis databases and configuration services, reducing manual configuration effort by 50%.
I also developed automation for microservice environment configuration across enterprise applications, reducing manual intervention by 40%. I migrated microservices from Pivotal Cloud Foundry (PCF) to Azure Red Hat OpenShift (ARO), reducing production release latency by 30%.
On a project called Distributed API Rate Limiter, I engineered a horizontally scalable REST API rate limiter using FastAPI and Redis. Its token-bucket algorithm and O(1) IP validation mechanism reduced validation latency by 99% compared with sequential list scanning.
I also developed a scalable online code execution platform using Spring Boot and Redis, with isolated Docker execution sandboxes for Java and Python workloads. The multi-worker system processed 1,000+ concurrent submissions, and I wrote tests for the rate limiter that achieved 90%+ code coverage.
