Deepti Prasad is a distinguished engineering leader and Corporate Vice President at Microsoft, currently spearheading initiatives within Azure AI. She has a profound background in building and scaling large-scale, enterprise-grade AI and Machine Learning platforms and products. Deepti is passionate about translating cutting-edge AI research into tangible, impactful solutions that empower businesses and developers. Her work often involves leading diverse, global teams to deliver innovative AI services, with a strong focus on responsible AI principles, MLOps, and driving customer success through artificial intelligence.
Deepti Prasad's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the engineering organization for Microsoft's Azure AI Platform, focusing on delivering a comprehensive suite of AI services, tools, and infrastructure for developers and data scientists to build, deploy, and manage AI applications at scale.
Played a significant leadership role in the development and scaling of the Azure OpenAI Service, bringing powerful generative AI models like GPT-4 to enterprise customers globally.
Champions the integration of Responsible AI principles and robust MLOps practices into the AI development lifecycle, ensuring AI systems are fair, reliable, safe, and transparent.
Consistently driven innovation in AI product development, contributing to Microsoft's leadership in the enterprise AI space by launching and enhancing key AI services and capabilities.
Frequently speaks at industry conferences and events, sharing insights on AI trends, enterprise AI adoption, and the future of artificial intelligence, establishing herself as a thought leader in the field.
Delhi School of Economics - Year 2005
Delhi University - Year 2002
Delhi Public School, Bokaro - Year 2000
The Pentecostal Assembly School,Bokaro
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Spyne is a Deep Tech AI company that helps businesses and marketplaces create high-quality product visuals at scale. They leverage AI to automate and enhance image editing and creation processes for e-commerce, automotive, and other industries, aiming to reduce operational costs and improve conversion rates for their clients.
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