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Freelancer Overview

I am a graduate student in Applied Information Sciences with a strong background in data-driven research and engineering, particularly in wireless communications and satellite networks. My research involves designing Multi-Agent Reinforcement Learning (MARL) algorithms for resource allocation, which requires rigorous data structuring, reward signal design, and analyzing complex network datasets. Through optimizing large-scale systems like Hybrid FSO/RF networks and Delay-Tolerant Networks (DTN), I have developed a meticulous approach to data quality, algorithm evaluation, and precise technical documentation. +4 Furthermore, my experience as a peer reviewer for IEEE journals and my extensive background in drafting academic publications in English ensure strict standards for accuracy, logical consistency, and clarity. Combined with my background as a Teaching Assistant, I am highly capable of breaking down intricate technical concepts into clear, structured, and well-annotated data points, making me well-equipped to contribute to rigorous AI development and precise data annotation.

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