Taanya Gupta
About Taanya Gupta
Taanya Gupta is an AI/ML Product Manager currently working at Opsera and Virufy in the San Francisco Bay Area. With a strong technical background and experience in product management across various companies, she specializes in developing machine learning models and solutions.
Work at Opsera
Taanya Gupta has been serving as an AI/ML Product Manager at Opsera since 2023. In this role, she focuses on leveraging artificial intelligence and machine learning technologies to enhance product offerings. Her position is based in the San Francisco Bay Area, where she collaborates with cross-functional teams to drive product development and innovation.
Current Role at Virufy
In addition to her position at Opsera, Taanya Gupta also works as a Product Manager at Virufy, starting in 2023. This role is conducted remotely and allows her to apply her expertise in product management within the healthcare technology sector. Her contributions aim to improve product functionalities and user experiences.
Education and Expertise
Taanya Gupta is currently enrolled in the Product Management program at the University of California, Berkeley, Haas School of Business, which she began in 2023. She holds a Master’s degree in Electrical and Electronics Engineering from the University of California, Riverside, completed between 2018 and 2020. Additionally, she earned a Bachelor's degree in Electronics and Communication Engineering from Punjab Engineering College from 2014 to 2018.
Professional Background
Taanya Gupta has a diverse professional background, having worked in various roles related to product management and engineering. She held positions at Intuit as an Acting Product Manager - ML from 2021 to 2023 and at TensorIoT Inc. as a Product Manager - ML in 2020. Her experience also includes roles at Capital One, Microsoft Innovation Center, and Ericsson, where she developed skills in machine learning and product development.
Research Contributions
Throughout her career, Taanya Gupta has contributed to multiple research projects and publications in the fields of product and engineering. Her work often involves the application of computer vision technologies and machine learning models, focusing on creating solutions for identity and trust issues.