Akshay Budhkar

Akshay Budhkar

Chief Executive Officer @ Spine AI

About Akshay Budhkar

Akshay Budhkar is the Chief Executive Officer of Spine AI, a company he co-founded in 2023. He has extensive experience in data science and artificial intelligence, having held leadership roles at various organizations, including WorkFusion and Georgian Partners.

Current Role at Spine AI

Akshay Budhkar serves as the Chief Executive Officer of Spine AI, a position he has held since 2023. Under his leadership, Spine AI focuses on developing innovative solutions in the artificial intelligence sector. The company is part of Y Combinator's Summer 2023 batch, indicating its alignment with cutting-edge technology and startup culture.

Previous Experience at WorkFusion

Before joining Spine AI, Budhkar worked at WorkFusion as the Interim Head of Data Science and Director of Applied Research from 2022 to 2023. In this role, he was responsible for overseeing data science initiatives and applied research projects, contributing to the company's advancements in automation and AI technologies.

Background in Data Science and AI

Budhkar has a strong background in data science and artificial intelligence, having held multiple positions in this field. He worked as an AI Technical Lead at Georgian from 2022 to 2023, where he led several applied research initiatives focused on generative AI. His experience includes helping over 40 B2B SaaS companies during his tenure at Georgian Partners.

Educational Qualifications

Akshay Budhkar holds a Bachelor of Applied Science in Computer Engineering from the University of Waterloo, completed in 2017. He further pursued a Master's degree in Computer Science at the University of Toronto, graduating in 2019. Currently, he is studying for an Executive MBA Essentials at the Rotman School of Management, University of Toronto, which he began in 2022.

Early Career and Internships

Budhkar's early career includes various internships and roles that laid the foundation for his expertise in technology and data science. He interned at Scribd in 2015 and worked as a Data Science Intern at Street Contxt in 2016. Additionally, he served as a Graduate Teaching Assistant at the University of Toronto from 2017 to 2018 and contributed as a Research Affiliate at the Vector Institute from 2018 to 2019.

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