Gagan Singhal is a highly accomplished product leader with extensive experience in building and scaling innovative technology products, particularly in the realms of Artificial Intelligence, machine learning, and consumer-facing applications. He is recognized for his strategic vision and leadership in developing complex platforms and features that impact millions of users globally. Gagan has a strong background in product management, engineering, and driving growth for large-scale tech initiatives. He is passionate about leveraging technology to solve real-world problems and enhance user experiences.
Gagan Singhal's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As Director of Product Management at Google, Gagan led product strategy and execution for key areas of Google Assistant and Search, focusing on user engagement, new feature development, and multimodal experiences. He was instrumental in shaping how users interact with AI-powered assistance across various devices.
Played a significant role in advancing Google's conversational AI capabilities, contributing to the development of more natural, intuitive, and helpful interactions for users of Google products.
Previously, as VP of Product at Udacity, Gagan was responsible for product strategy, growth, and monetization, helping to scale the online learning platform and expand its reach to learners worldwide.
Gained foundational experience in software development and product management at Microsoft, working on various products and contributing to their evolution in the early stages of his career.
Institute of Management and Technology, Nagpur - Year 2005
Punjab Engineering College - Year 2000
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MAI Labs Inc. (MAI) develops and provides AI-powered software solutions for medical imaging analysis, specifically aiming to optimize clinical trials. Their proprietary AI tools enable faster, more accurate analysis of medical images (like CT scans, MRIs) and associated clinical data. This helps pharmaceutical companies, biotech firms, and Contract Research Organizations (CROs) to potentially reduce clinical trial duration and costs, improve data quality, and accelerate the development of new therapies.
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