At HPE Aruba Networking, I designed an MLOps pipeline for Channel 144 client capability detection, processing data from 12 production clusters. I also built drift detection and deployment gates that eliminated manual QA overhead for the weekly pipeline.
I automated Trivy CVE remediation by orchestrating Jira, Bitbucket, and GitHub MCP servers, remediating 450+ vulnerabilities with no SLA breaches over two years. I also engineered Kafka and Spark pipelines across 12 global clusters, reducing SLA-based data loss by 60% and infrastructure costs by 30%.
On PipelineIQ, I built a data reliability and recovery platform with Spark, Delta Lake, LangGraph, and Airflow. I also published ML research on diabetes prognostication and battery-life prediction.

