At AGIL f(x), our team leverages my expertise in AI, full stack development, and network analysis to craft advanced AI solutions and streamline development workflows. With a Master's in Computer Science from The University of Texas at Arlington, I've honed skills in Python, React JS, and NetworkX, contributing to the creation of small, efficient LLMs and robust full stack applications. My graduate research fortified network systems, achieving a notable enhancement in resilience through a novel reinforcement learning framework. This propensity for innovation is further evidenced by a published book chapter on next-generation vehicular networks, showcasing a deep understanding of 5G technologies and their applications. With a passion for data-driven problem-solving, I continuously seek to merge academic insights with practical implementations, driving progress in the AI landscape.