Vayun Alapati
About Vayun Alapati
Vayun Alapati is a Staff Software Engineer at Scale AI, with a background in machine learning and research from prestigious institutions such as Stanford University and MIT. He has accumulated diverse experience through internships and research roles at companies like Google, Amazon, and Snap Inc.
Current Role at Scale AI
Vayun Alapati serves as a Staff Software Engineer at Scale AI, a position he has held since 2021. He works in San Francisco, California, contributing to the development of machine learning solutions. His role involves leveraging his expertise in software engineering to enhance the capabilities of AI technologies.
Previous Experience at Google
Prior to his current position, Alapati worked as a Machine Learning Researcher at Google from 2018 to 2020. During his tenure in Cambridge, MA, he focused on advancing machine learning methodologies and contributed to various research initiatives within the organization.
Research Internships at Stanford and NIH
Alapati gained valuable research experience as an intern at Stanford University School of Medicine from 2016 to 2017. He also interned at The National Institutes of Health from 2017 to 2019, where he engaged in research projects across multiple locations, including Miami, FL, and Boston, MA.
Educational Background at MIT
Alapati studied at the Massachusetts Institute of Technology (MIT), where he earned a Bachelor's Degree in Computer Science and Biology. His studies spanned from 2018 to 2020, during which he developed a strong foundation in both disciplines.
Internships and Research Roles
Throughout his career, Alapati has held various internships and research positions. He worked as a Machine Learning Intern at Amazon in 2019, a Software Engineer Intern at Snap Inc. in 2020, and participated in research at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the MIT Media Lab from 2018 to 2020.