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π M.S. in Intelligent Information Systems
Carnegie Mellon University, School of Computer Science -
π B.S in Computer Science, B.A. in Math and Economics
Georgia Institute of Technology, Emory University Dual Degree -
π οΈ Skills: Python, Java, C++, JavaScript, AWS, Docker, PyTorch, TensorFlow, GAN, XGBoost, Transformer
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πΌ Experience:
- Intuit Inc., Software Engineer Intern (May - Aug 2023)
Developed scalable systems for tax form de-duplication, saving $2M annually. - Intuit Inc., Machine Learning Engineer Intern (Jun - Aug 2022)
Built a high-performance image captioning model using AWS and PyTorch.
- Intuit Inc., Software Engineer Intern (May - Aug 2023)
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π Recent Projects:
- Chinese FLAN-T5 Contributed to LLM instruction in Chinese and multiple languages.
- Amex Default Prediction (Kaggle Top 1.6%) Enhanced financial feature models using LGBM and XGBoost.
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π Publications:
- Sotopia-Ο: Interactive Learning of Socially Intelligent Language Agents (Under review, ACL 2024)
- Sotopia: Interactive Evaluation for Social Intelligence in Language Agents (Accepted, ICLR 2024)
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