At Oracle Communications, I enhance distributed service workflows across 90+ execution paths, using Prometheus and Grafana telemetry to investigate failures. My work reduced mean time to root cause by 35%.
I also identified redundant processing stages and implemented enhancements that cut runtime by 40 minutes across 3+ live pipelines. I supported troubleshooting across Kubernetes, Helm, Docker, and CI/CD environments, improving deployment consistency and reducing manual intervention by 30%.
At IIT Ropar – Masterly, I contributed to a full-stack adaptive learning platform, including backend architecture, data modeling, and REST API development. I helped address recommendation cold-start limitations with a knowledge-graph-based approach, reducing onboarding drop-off by approximately 15%.
On my Knowledge Graph Recommendation Engine project, I modeled more than 200 concepts and built recommendation services and learner dashboards. I also developed a hybrid network intrusion detection system that achieved over 93% detection accuracy on benchmark datasets.
