Tanvi Bajpai is an accomplished professional in the field of computer science with extensive experience in data science and software engineering. Bajpai's career began with an internship at Microsoft in 2017, followed by a research internship at the University of Maryland in 2018. Subsequently, Bajpai developed deep learning models for ECG classification at AliveCor as a Data Science Research Intern from 2023 to 2024, focusing on creating interpretable and reliable machine learning pipelines. As a PhD candidate at the University of Illinois Urbana-Champaign from 2022, Bajpai engages in advanced research and has also served as a Teaching Assistant at Carnegie Mellon University. Currently, Bajpai is a Software Engineer at Google, contributing to the AI & Computing Infrastructure organization, with a focus on enhancing PyTorch training performance and scalability.
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