Building AI Agents: From Design Patterns to Production (Paperback) (ISBN-13: 9783032390950)

Antonio Gulli is a highly experienced Senior Director at Google, currently leading the Engineer Director role in the Office of CTO. With over 30 years of relevant experience, Antonio is a well-known figure in the industry, with a strong background in AI, Search, and Cloud technologies. Antonio has extensive experience managing technical teams and providing Google Cloud technology solutions across EMEA industry. He has previously served as Site Lead and Engineering Director for Google, where he managed cloud teams and led cross-functional teams in strong collaboration with international sites and sales functions. Antonio has also authored the book "Deep Learning for Keras" to increase science culture awareness. Antonio's educational background is impressive, with a Ph.D. in Computer Science from the University of Pisa and a Master's degree in Engineering from the same university. He also holds a Master's degree in Practice Engineering from the University of Pisa and a Bachelor's degree in Computer Science from the University of Pisa. Antonio's technical expertise includes Senior Software Engineer, AI, Search, Cloud Kubernetes, Keras, and Deep Learning. He is also a Board Member and VC Advisor, making him a valuable asset to any organization.

Anant Nawalgaria is a Senior Staff Machine Learning Architect and Product Leader at Google. Specializing in bridging the gap between cutting-edge AI research and scalable production, his work spans generative AI, multi-agent systems, and novel architectures for multimodal LLMs. Anant has co-authored research spotlighted at prestigious conferences such as ICLR and ICML.

At Google, Anant drives 0-to-1 research and product creation, leading pioneering technologies like Gecko, a state-of-the-art multimodal evaluation framework, and AlphaEvolve, an advanced evolutionary coding agent utilizing black-box optimization. He has also contributed to core enhancements of early Gemini models, researching novel architectures for performance and cost optimization in multimodal LLMs. Beyond research, Anant leverages his forward-deployment engineering expertise to guide some of the world's largest, most innovative enterprises in building and scaling cutting-edge AI solutions for novel production use cases.

Anant is also a prominent technical educator and industry voice. He founded and led the global Google x Kaggle Generative AI course series, reaching over two million learners worldwide, has spoken at numerous industry-wide events, and publishes highly popular technical blogs and white papers on generative AI, agents, and vibe coding. Additionally, he serves as a contributor and reviewer for multiple authoritative books on applied machine learning and agentic systems. Anant holds a Master of Science in Informatics (with Distinction) from the Technical University of Munich (TUM) and an MBA from the Indian Institute of Technology Madras (IIT-M).