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Freelancer Overview

I have hands-on experience developing and validating data systems, working extensively with Python, SQL, and Linux environments to ensure the accuracy and integrity of data used in large-scale applications. My background includes leading data-feed projects, writing test and validation scripts, and collaborating with cross-functional teams to deliver high-quality, reliable datasets for university and enterprise platforms. I am skilled in using tools such as Docker, OpenShift, and Bitbucket, and have experience with data pipeline monitoring, automation, and QA processes. My strong attention to detail and systematic approach make me well-suited for data labeling, annotation, and AI training data roles, where quality and precision are essential.

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Work History