Key Skills

Software

Appen

Labelbox

Mindrift

Toloka

Top Subject Matter

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Top Data Types

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Top Label Types

Audio Recording

Freelancer Overview

I am an MLOps Engineer with hands-on experience designing and deploying robust machine learning pipelines and workflows across cloud platforms like GCP, AWS, and Azure. My background includes building automated CI/CD systems, implementing data governance, and developing real-time model monitoring solutions using tools such as MLflow, Kubeflow, Prometheus, Grafana, and Docker. I have worked with centralized feature stores to ensure consistent and reliable data availability for both training and production, and have automated retraining pipelines triggered by data drift to maintain high model accuracy. My expertise in infrastructure as code, model monitoring, and data privacy best practices enables me to support high-quality, scalable AI solutions—making me well-suited for roles focused on data labeling, annotation, and AI training data workflows in fast-paced environments.

Labeling Experience

Education

Work History