I'm a DevOps and MLOps engineer focused on building trustworthy machine learning delivery systems. From orchestrating experiments to shipping models into production with airtight observability, I help teams stay confident in the platforms that power their products.
What I bring
Model operations expertise spanning experiment tracking, automated retraining, and safe rollout strategies.
Proven delivery of cloud-native infrastructure, CI/CD, and observability tailored to data science workloads.
Deep Oracle DBA and Linux background for hybrid environments where legacy and modern platforms converge.