Georgia Institute of Technology
Georgia Tech B.S. & M.S. in Computer Science with Honors and Baseball Scholarship.
Georgia Tech B.S. & M.S. in Computer Science with Honors and Baseball Scholarship.
Led a team of four students to develop data analytics solutions for Georgia Tech Baseball.
Developed a session ID middleware for event tracking, handling 900+ users per minute.
Upcoming internship at Stripe as a Software Engineering Intern on Revenue Intelligence Team.
Developed Python scripts and conducted deep learning model evaluation at Yale University.
Dashboard that summarizes CSV pitching data for player feedback with 10+ visual charts, 15+ tables. Used daily by Pitching Coaches to review practice sessions

Built NBA player data and odds api pipeline with Pandas, NumPy to collect data, train a regression model and make predictions based on previous games performance, achieving 51.7% success rate - 0.5% edge on sportsbooks.
Published in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
This paper introduces ConFiT, a novel contrastive fine-tuning approach for improving factual consistency in dialogue summarization…
Recommended citation: CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning (Tang et al., NAACL 2022)
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Published in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Abstractive dialogue summarization has long been viewed as an important standalone task in natural language processing…
Recommended citation: STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension (Wang et al., EMNLP 2022)
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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