As a Graduate Research Assistant at Georgia Tech Research Institute (GTRI), I work on cutting-edge research projects in the field of automated machine learning (AutoML). My current focus is on developing novel evolutionary algorithms that can optimize the performance and robustness of machine learning models. I am also preparing a paper submission to the Genetic and Evolutionary Computation Conference (GECCO) in 2024, where I hope to share my insights and discoveries with the global research community.My passion for machine learning stems from my undergraduate studies at Georgia Tech, where I majored in computer science and embraced various courses and projects related to data science, deep learning, natural language processing, and computer vision. I also gained valuable industry experience as a software engineer intern at Microsoft, where I worked on a proof of concept for a chatbot tool that leverages a graph-connected database and a language intent parser. Additionally, I have participated in numerous hackathons and startup challenges over the years, honing my skills in iOS app development and UI/UX design. I am always keen to learn, collaborate, and grow, so feel free to connect!