Rajat Jain is an experienced tech professional with significant expertise in machine learning and software engineering. At Google, Rajat served as a Tech Lead on the YouTube Ads Machine Learning team, focusing on developing and deploying state-of-the-art deep learning models to enhance user experience and maximize revenue. Previous roles include Software Engineer Intern at Google, where Rajat optimized data processing by migrating to a cloud-based warehouse, and Teaching Assistant at The University of Texas at Austin, delivering lectures and conducting lab sessions in software engineering and data structures. Additionally, Rajat worked as a Quantitative Analyst II at Goldman Sachs, modeling liquidity risk and leading corporate treasury initiatives. Rajat holds a Master's degree in Computer Science from The University of Texas at Austin and a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Roorkee.
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