Sherali Tukra
About Sherali Tukra
Sherali Tukra serves as the Head of Machine Learning & Data Platform at Notion, a position he has held since 2023. With extensive experience in engineering management and a strong academic background, he focuses on leadership development and innovative project execution.
Work at Notion
Sherali Tukra currently serves as the Head of Machine Learning & Data Platform at Notion, a position he has held since 2023. In this role, he is responsible for overseeing the development and implementation of machine learning strategies and data platforms that enhance the functionality and user experience of Notion's products.
Previous Experience
Prior to his role at Notion, Sherali Tukra worked at several prominent companies. He was a Lead Software Engineer at KIXEYE for 8 months in 2014, and served as Tech Lead & Sr. Software Engineer at Gap Inc. from 2007 to 2014. He also held the position of Engineering Leader at Stripe from 2022 to 2023 and was a Group Engineering Manager at Twitter from 2015 to 2022.
Education and Expertise
Sherali Tukra has an extensive educational background. He studied at Harvard Business School, achieving a focus in Organizational Leadership in 2022. He also holds a Bachelor's Degree in Computer Science and completed independent coursework in Spatial Computing at the University of Minnesota in 2014. Additionally, he has pursued advanced studies in Machine Learning and is currently studying Engineering Leadership at Stanford University Graduate School of Business.
Advisory Roles
In addition to his professional roles, Sherali Tukra has been an Advisory Council Member at Harvard Business Review since 2022. This position allows him to contribute his insights and expertise in machine learning and organizational leadership to a broader audience.
Specialization and Interests
Sherali Tukra specializes in team building, execution, coaching, and hiring geographically distributed teams. He has a passion for leading cross-functional projects, particularly in areas that are not well understood. He enjoys building highly scalable systems that serve millions of users and focuses on growing new leaders within organizations.