Quantitative Developer Intern

Working on infrastructure that watches production job orchestration and messaging health, so problems surface on their own rather than waiting to be noticed.

Monitoring pipeline for Nomad jobs

I designed and deployed a scalable Apache Airflow DAG that orchestrates a monitoring pipeline across Nomad jobs. The pipeline analyses Solace queue health automatically and generates outage reports from what it finds, which cut mean time to detection by 95%.

The work sits at the intersection of scheduling, message-broker internals and reporting: the DAG has to be reliable enough that its own failures are visible, and the analysis has to distinguish a genuinely unhealthy queue from normal load.