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About the Book

Vibe AWS delves into the realm of Vibe Coding, a pivotal AI advancement in 2025. This innovative book explores the integration of AI into workflow automation, showcasing its application in tasks such as writing, planning, decision-making, and goal setting. By harnessing cutting-edge AI capabilities like code generation, agents, and reasoning, the narrative unfolds the potential of AI-driven enhancements in workflows, specifically leveraging AWS technologies. The focus remains on elevating user experiences through natural language interactions and AI-driven processes.


About the Author

Manav Sehgal’s avatar Manav Sehgal

@manavsehgal

Manav Sehgal is a builder, author, and inventor specializing in product management, software engineering, cloud, and data science with more than 15 years of experience at Amazon (AWS, Retail, Alexa AI), Xerox PARC, HCL Technologies, and Daily Mail Group.

During his career he has also built, mentored, and led technology and product management for six startups with successful exits including Rightster (Video Advertising), Map of Medicine (Healthcare), Cytura (Media Services), Infonetmap (E-commerce), Edynamics (Digital Marketing), and AgRisk (Agriculture Analytics).

Daily Mail Group (RMS) sponsored him for Executive MBA module in Leading Innovative Change, from UC Berkeley, Haas School of Business (2015). He has completed CMMI certification from SEI CMU (2006). He studied Computer Engineering from Delhi College of Engineering, while employed at Xerox PARC (1995-99). He also earned distinction in Lean Management program conducted by AOTS, JMAM Japan (1994-95).

Manav is author of five books on Data science solutions (https://leanpub.com/data-science-solutions), React rapid development (https://leanpub.com/reactspeedcoding), E-commerce platform development (https://leanpub.com/reacteshop), Java component technology, and JavaScript object oriented programming. He is a popular GitHub contributor active on AWS, Google, and Facebook open source projects. Manav has written the top five voted (as on July 2019) data science tutorial on Kaggle (https://www.kaggle.com/startupsci/titanic-data-science-solutions), the largest data science community online.

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