I am a highly skilled and results-driven Computer Science graduate student at New York University, specializing in cutting-edge technologies such as machine learning and big data analytics.In my recent role as a Lead Engineer at Samsung R&D Institute, I demonstrated my proficiency in leveraging transformative technologies to enhance call processing modules. I successfully implemented machine learning methods, including Transformers, achieving a remarkable 95.4% reduction in ambient noise during real-time calls.I have successfully also applied machine learning techniques, specifically transformers, to predict future contract prices from current stock prices. This involved addressing liquidity concerns on the futures side using volume clocks.My technical skills span a wide array of languages, frameworks, and developer tools. I have consistently excelled in various technical competitions, such as Optiver’s Ready Trader Go, Citadel's Terminal East Coast Regional, and IMC Trading's Prosperity trading competition. Notably, I secured the 7th place in the Optiver competition out of 4000 teams and the top 1% in Prosperity trading competition out of 7000 teams.As I continue my academic journey at NYU, I am excited to leverage my skills and experiences to contribute to innovative solutions in the field of computer science. Open to new challenges and collaborations, I am eager to explore opportunities that align with my passion for technology and drive for excellence. I’m also eager to meet other software engineers in the area, so feel free to connect!