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Freelancer Overview

I have hands-on experience building and automating CI/CD pipelines, ensuring high reliability and efficiency in data workflows. My background includes deploying and monitoring containerized applications using tools like Kubernetes, Docker, Prometheus, and Grafana, which has given me a strong understanding of data integrity, quality control, and system observability—key aspects in data labeling and AI training data environments. I am skilled in scripting with Python and Bash, automating deployment and validation processes, and troubleshooting data pipeline issues. My projects have required careful attention to detail, documentation, and the ability to analyze and optimize processes for both accuracy and cost, making me well-suited to contribute to high-quality AI data annotation and training initiatives.

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