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Freelancer Overview

With a strong background in electrical engineering, photonics, and applied physics, I bring extensive experience working with high-quality datasets for advanced optical, LiDAR, and sensor systems. My work has involved hands-on data acquisition, signal processing, and rigorous annotation of complex sensor outputs, including labeling and analyzing image and point cloud data for computer vision and sensor fusion applications. I am proficient in Python, MATLAB, and specialized tools like Ansys SPEOS, Synopsys RSoft, and Keysight ADS, which I have used for simulation, data processing, and quality assessment. My experience spans projects in environmental sensing, distributed fiber optic systems, and automotive LiDAR, where I have developed and validated data pipelines, performed statistical analysis, and contributed to publications on sensor data quality and noise measurement. I am eager to leverage my interdisciplinary expertise to support accurate data labeling and AI training data initiatives in domains such as computer vision, remote sensing, and photonic system development.

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