MLOps Engineer with 5 years of experience specializing in cloud infrastructure and platform tooling for machine learning workloads. Proficient in managing and optimizing the full OpenShift stack, with hands-on depth ranging from Kubernetes operators to complex networking and comprehensive observability. Bridging the gap between data science requirements and robust cloud architecture, ensuring ML resources are scalable, reliable, and highly available.
