I am a recent graduate from Yale University with a Bachelor of Science in Computer Science. With over two years of research experience in Natural Language Processing (NLP), I have co-authored multiple publications, showcasing my dedication and expertise in this evolving field. My proficiency spans several programming languages, including Python, C, and C++, and I have applied these skills to practical projects such as dataset conversions and creating pipelines.During my time at Yale, I had the opportunity to lead and mentor as a research assistant and learning assistant. These roles honed my leadership and teaching abilities, allowing me to effectively assist students and contribute to significant research projects. I am particularly proud of my work as lead author on quantifying contamination in training datasets of large language models and being a co-author on several other papers.Beyond academics and research, I actively participated in varsity athletics as a member of the Yale University Men’s Varsity Cross Country and Track Team. This experience instilled in me the values of teamwork, dedication, and perseverance, which I bring to all my professional endeavors.I am passionate about leveraging my technical skills and research background to solve real-world problems. My ultimate goal is to contribute to advancements in AI and NLP, driving innovation and creating impactful solutions.Notable Publications:First Author: "Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models," Accepted to ACL 2024, preprint available on arXiv.Co-author: "L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models," Accepted to TACL 2024, preprint available on arXiv.Co-author: "FOLIO: Natural Language Reasoning with First-Order Logic," Submitted to ARR-April 2024, preprint available on arXiv.Feel free to connect with me if you are interested in collaborating on projects or discussing advancements in AI and NLP. Let's drive innovation together!