Kai Rawal

Kai Rawal has a diverse background in machine learning and research. Their most recent position is as a Machine Learning Engineer at Gantry, starting in 2023. Prior to that, they worked at Fiddler from 2021 to 2022 as a Machine Learning Engineer, where they developed new explainable AI techniques and improved model monitoring pipelines. In 2021, Kai was a Research Scholar at the Berkman Klein Center for Internet & Society at Harvard University. They also served as a Research Assistant at Harvard Business School from 2020 to 2021, conducting research on explainable machine learning. Before that, Kai was a Research Intern at Nanyang Technological University in 2018, where their paper was accepted for publication at the IEEE BigData conference. They also worked as a Software Developer at the Institute for Artificial Intelligence, University of Bremen in 2018, where they improved efficiency in learning and inference using machine learning. Their first work experience was as a Software Development Intern at SENSEI Technologies in 2017, where they created an interactive neural-network powered product and expanded the company's tech-stack to include deep learning frameworks.

Kai Rawal holds an impressive educational background. They started their education journey at Rishi Valley School from 2007 to 2014, where they completed High School with a focus on Computer Science, Mathematics, Physics, and Chemistry. Subsequently, from 2015 to 2019, Kai pursued a Bachelor's Degree in Computer Science at Birla Institute of Technology and Science, Pilani. In 2019, they briefly attended Politecnico di Milano, specializing in Ingegneria Informatica, for a short period of time. Later on, from 2019 to 2021, Kai attended Harvard University, where they obtained a Master's degree in Data Science. Apart from their formal education, in September 2020, Kai obtained certification as a Triplebyte Certified Data Scientist from Triplebyte.