Summary
MLOps & Infrastructure Engineer with 10+ years building and operating cloud-native systems at scale,
including hands-on experience designing data pipelines and GPU-accelerated CUDA compute infrastructure for
production ML workloads. Skilled in Kubernetes, Terraform, and CI/CD automation across GCP and AWS, with
a track record of close collaboration with ML engineers and data scientists to bridge research requirements
and production infrastructure. Strong observability foundation (Prometheus, Grafana, Mimir) and automation
bias—replacing manual processes with reliable, repeatable systems that let ML teams ship and iterate
with confidence.