Dharmesh Kakadia
About Dharmesh Kakadia
Dharmesh Kakadia is a Tech Lead Manager in Machine Learning Engineering at Nuro, with a strong background in AI and data solutions. He has previously held various roles at Microsoft, authored numerous publications, and contributed to open source projects.
Current Role at Nuro
Currently, Dharmesh Kakadia serves as the Tech Lead Manager (TLM) in ML Engineering at Nuro. He has held this position since 2022, contributing to the development and implementation of machine learning solutions within the organization. His role involves overseeing engineering teams and driving projects that leverage AI technologies.
Previous Experience at Microsoft
Dharmesh Kakadia has extensive experience at Microsoft, where he worked in various capacities from 2016 to 2022. He began as a Software Engineer in Azure, followed by roles as a Senior Data & Applied Scientist and Principal Machine Learning Lead. His tenure at Microsoft spanned across the Redmond, Washington, and San Francisco Bay Area, focusing on machine learning and data solutions.
Education and Expertise
Dharmesh Kakadia holds a Bachelor of Engineering (BE) in Computer Science from Dharmsinh Desai University, where he studied from 2007 to 2011. He furthered his education with a Master of Science (MS) in Computer Science & Engineering from the International Institute of Information Technology Hyderabad (IIITH), completing his studies from 2011 to 2014. His academic background supports his expertise in AI and machine learning.
Contributions to Open Source and Research
Dharmesh Kakadia has made significant contributions to the open source community, with projects that have garnered over 1,000 stars on GitHub. He has also authored 13 publications in notable venues, including SoCC, SuperComputing, WWW, IC2E, and CloudCom. His research work has achieved over 700 citations, reflecting his impact in the fields of AI and systems.
Speaking Engagements and Community Involvement
Dharmesh Kakadia has delivered over 20 talks at various conferences, meetups, and podcasts, sharing his knowledge and insights on AI and data solutions. His engagement in these platforms highlights his commitment to community collaboration and knowledge dissemination within the tech industry.