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Advitya Gemawat ( https://www.microsoft.com/en-us/research/people/agemawat/ ) is a Machine Learning Research Engineer who currently works in the Responsible AI (RAI) team as part of the Azure Machine Learning (AML) and Azure AI Studio product lines, in the Azure AI Platform org. Prior to the RAI team, he was part of the 4th cohort of the Microsoft AI Development Acceleration Program (MAIDAP), where he worked with Azure Quality, Microsoft\\u2019s Gray Systems Lab (GSL), Azure Edge & Platform, and Azure Machine Learning (AML). His research experience is at the intersection of Machine Learning & Scalable Systems. His work with GSL was identified as the Microsoft Global Hackathon Executive Challenge 2022 Winner and recipient of the Best Demonstration Award at VLDB 2022. His work with the AML team on expanding the RAI Dashboard to support Object Detection models was released in Public Preview at Microsoft Build 2023. Prior to Microsoft, Advitya graduated from UC San Diego with a Data Science major, where he contributed to Project Cerebro (a Layered Data Platform for scalable Deep Learning) and was advised by Professor Arun Kumar. There, his research won the 2021 ACM SIGMOD Student Research Abstract Competition and the Best Project Award as part of UCSD\\u2019s Hal\\u0131c\\u0131o\\u011flu Data Science Institute (HDSI) Undergraduate Scholarship Program HDSI Scholarship Program. As part of an internship with VMware, his work on Massively Parallel Automated Model Building for Deep Learning was included in Apache MADlib 1.18.0 release. Opinions expressed in the video solely reflect Advitya\\u2019s views and not the views of his employer. Follow Advitya on the handles below: LinkedIn: linkedin.com/in/agemawat YouTube: youtube.com/@AdvityaGemawat Microsoft Research: microsoft.com/research/people/agemawat\\xa0