Tuan Anh Dang, Master of Engineering in Computer Science Department of Computer Science Cornell University, NY, USA Contact Email: td296@cornell.edu Phone: +1 917 324 7209 About me Hello, my name is Tuan and after finishing Master of Engineering in CS @ Cornell—where I did research into LLM code generation and testing Omnicode. I am currently working at Microsoft Research looking into Edge traffic data, AI-crawler blockage, building news extraction pipelines. Other research experience/interest in Machine Learning include CV and RL, while past data science and econometrics work in experimentation and causal inference for Walmart.com Ad Load Optimization under team lead by John A. List. For more information, you can view my LinkedIn. Projects and Research Publications A. Sowane, C. Beger, T. A. Dang, K. Ellis, S. Dutta, etc.: Omnicode: A Benchmark For Evaluating Software Development Agents. May-2025. White Paper. T. A. Dang, D. McKee: Economic Education Lab. March-2024. (website) Cornell Unmanned Air Systems, T. A. Dang: Autopilot, back-end communication with Interops. Jan-2023. (Team) T. A. Dang, T. Duan, B. Rubin, R. Valiveti: TODOCAML, a terminal-based productivity app. Apr-2022. (GitHub) Cornell Quant Fund, T. A. Dang: Transferability of Volatility Between ETF Holdings. Feb-2022. (GitHub) T. A. Dang, IBM Thomas J. Watson Research Center: ML apprentice, OL problems and CV classifiers. June-2021. (GitHub) Awards 1st Placed Team (of 60 Competitors) Jane Street Cornell Estimathon, 2024 Yearly IBM Thomas J.Watson Research Scholarship, 2021-2025 Dean’s List All Semesters, 2021-2025 Abstract Accepted and Presented at American Economic CTREE, 2023. 2nd at Cornell Quant Mock Trading Competition, 2022 American Invitational Math Exam & AMC 12 with Distinction, 2021 Top 2.5% of Competitors ranked by Mathematical Association of America, 2020 The contents of this page are the responsibility of the author and do not necessarily represent the views, policies or opinions of the Cornell University