Kunal Sinha is currently a Machine Learning Engineer at Fieldguide, where they are involved in developing vertical AI for audit and advisory. They completed their Master of Science in Symbolic Systems (Artificial Intelligence) at Stanford University, where they also conducted notable research in Natural Language Processing. Kunal previously held the position of Lead Machine Learning Engineer at Cledge, leading a team that created innovative tools for college admissions and earned recognition in startup competitions. During their time as a student researcher at Stanford Artificial Intelligence Laboratory, they contributed to various projects aimed at improving the capabilities of language models. Kunal also gained substantial experience through multiple internships at Microsoft and Contextual AI, focusing on enhancing AI workflows and multimodal systems.
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