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Freelancer Overview

With over 12 years of experience in embedded systems and software engineering, I have developed a strong foundation in data-driven development, automated testing, and quality assurance—skills directly relevant to data labeling and AI training data roles. My background includes designing and implementing test strategies, automating data validation processes, and developing control software for industrial and mobile equipment, often working with sensor data, LiDAR, and computer vision systems. I am proficient in Python, LabVIEW, C/C++, and have hands-on experience with REST APIs, ROS, and tools like Azure DevOps and Jira, which are essential for managing large datasets and facilitating seamless collaboration. My work has involved creating and maintaining technical documentation, ensuring data accuracy and consistency, and contributing to cross-functional teams to deliver high-quality, reliable solutions for applications such as autonomous control, industrial automation, and inspection systems. I am passionate about leveraging structured processes and automation to support robust, scalable AI and machine learning initiatives.

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