Vishakh Hegde
About Vishakh Hegde
Vishakh Hegde is the Co-Founder and CTO of Inventive AI, a company specializing in generative AI solutions. He has a diverse background in machine learning and research, having worked at various prestigious institutions including Stanford University and Schlumberger.
Current Role at Inventive AI
Vishakh Hegde serves as the Co-Founder and Chief Technology Officer at Inventive AI, a company established in 2023 that specializes in generative AI solutions for Requests for Proposals (RFPs) and questionnaires. Located in Mountain View, California, the company was part of Y Combinator's Summer 2023 batch. Hegde is focused on building a collaborative team of skilled professionals to tackle complex technical challenges in the field of generative AI.
Previous Experience at Ambient.ai
Before joining Inventive AI, Hegde worked at Ambient.ai as an Applied Research Scientist from 2019 to 2023. During this four-year tenure, he contributed to advancements in AI technologies, applying his expertise to various projects within the organization.
Educational Background
Hegde completed his Master of Science in Applied Mathematics and Engineering with a focus on Machine Learning and Computer Vision at Stanford University. Additionally, he holds a Dual Degree (BS + MS) from the Indian Institute of Technology, Madras. His academic background provides a strong foundation for his work in the technology sector.
Work Experience at Stanford University
Hegde has held multiple positions at Stanford University. He served as a Graduate Teaching Assistant for five months in 2016 and worked as a Research Assistant for a total of six months across two separate roles in 2016 and 2017. These experiences contributed to his understanding of advanced research methodologies and educational practices in a prestigious academic environment.
Career in Machine Learning
Hegde has a solid background in machine learning, having worked as a Machine Learning Scientist at Schlumberger from 2017 to 2019. He also held the position of Machine Learning Engineer at Matroid for nine months in 2016. His roles in these organizations involved applying machine learning techniques to solve real-world problems, enhancing his expertise in the field.