Aarti Bagul
About Aarti Bagul
Aarti Bagul serves as the Head of Field Engineering at Snorkel AI, where she has held various roles since 2021, including Principal ML Solutions Engineer and Head of ML Solutions Engineering. She has a strong academic background in computer science from Stanford University and New York University, and has contributed to significant projects in machine learning, including co-developing an updated version of Andrew Ng's ML course on Coursera.
Current Role at Snorkel AI
Aarti Bagul currently serves as the Head of Field Engineering at Snorkel AI, a position she has held since 2024. In this role, she is responsible for overseeing engineering efforts in the field, ensuring that machine learning solutions are effectively implemented and supported. Prior to this, she worked as the Head of ML Solutions Engineering at Snorkel AI from 2023 to 2024, where she led initiatives to enhance machine learning solutions. Her extensive experience in the company includes roles such as Principal ML Solutions Engineer and Machine Learning Engineer.
Professional Experience
Aarti Bagul has a diverse background in machine learning and engineering. She began her career as a Research Intern at the Guggenheim Museum in 2014 and has since held various positions in prominent organizations. She worked at DeepLearning.AI as a co-developer for Andrew Ng's machine learning course on Coursera from 2020 to 2022. Additionally, she contributed to AI Fund, focusing on building and investing in machine learning companies. Her experience also includes roles at Stanford University, where she served as a Head Teaching Assistant and Research Assistant.
Educational Background
Aarti Bagul holds a Master of Science (MS) in Computer Science from Stanford University. She also earned two Bachelor of Science (BS) degrees, one in Computer Science and another in Computer Engineering, from New York University. Her academic pursuits included a focus on machine learning applications in healthcare, particularly during her time at David Sontag's lab at NYU. Her education laid a strong foundation for her career in machine learning and engineering.
Contributions to Machine Learning Education
Aarti Bagul has made significant contributions to machine learning education, particularly through her work on Andrew Ng's machine learning course on Coursera. She co-developed an updated version of this course, which has been taken by over 5 million learners. Her involvement in this project highlights her commitment to advancing machine learning knowledge and accessibility. Additionally, she has focused on research related to machine learning for medical imaging during her academic career.
Research and Development Experience
Throughout her career, Aarti Bagul has engaged in various research and development projects. She contributed to the open-source project Vowpal Wabbit during her internship at Microsoft Research. Her research work has included machine learning applications in healthcare, particularly at NYU, where she worked on projects related to medical imaging. This experience has informed her practical approach to machine learning solutions in her professional roles.