Backend & DevOps engineer building reliable, scalable systems and automating CI/CD at scale. I use Python and Go for backend services and tooling, with a focus on cloud-native patterns that improve developer productivity and operational resilience.
Currently open to MLOps, DevOps, and Distributed Systems roles where I can combine backend engineering with infrastructure, observability, and ML/AI.
Software Engineer — Hewlett Packard Enterprise · Minnesota, USA · Jul 2025 – Present
- Designed and published a reusable Snyk workflow for GitHub Actions, increasing vulnerability reporting coverage by ~40% across the organization
- Migrated legacy Jenkins pipelines to a modern Python CLI library, reducing average job runtime by ~20%
- Enhanced a shared CLI repository with CI tool detection, container-upload manifest support, and broader Python version compatibility
- Integrated SonarQube into Jenkins pipelines, improving code coverage and reducing duplicated code by ~30%
- Studying ML/AI techniques applied to distributed systems and MLOps patterns
- Preparing for AWS Certified Solutions Architect — Associate (SAA-C03)



