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Al Brown is a seasoned Staff Software Engineer with over two decades of experience in designing and building scalable, distributed systems. He is widely recognized in the developer community as a co-author of the seminal book 'Go in Action,' which has helped countless developers master the Go programming language. Throughout his career at leading technology companies such as Red Hat and IBM, Al has specialized in cloud-native technologies, microservices architecture, and enterprise software development. His expertise lies in leveraging Go's concurrency and performance features to solve complex engineering challenges, making him a respected authority on the language and its practical applications.
Al Brown's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-authored the best-selling and highly-rated book 'Go in Action', published by Manning. The book is considered a foundational text for developers learning to build production-ready applications with the Go programming language.
Established a reputation as a leading expert in Go and cloud-native development through extensive professional experience at IBM and Red Hat, contributing to complex enterprise-level projects and distributed systems.
Actively contributes to the open-source community, sharing knowledge and code related to Go and software architecture, thereby helping to foster a collaborative development environment.
USC Marshall School of Business - Year 2006
Colorado School of Mines - Year 1992
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Veritone is a leading enterprise AI company that has developed a proprietary operating system for artificial intelligence, aiWARE. The aiWARE platform unlocks the power of AI-based cognitive computing to process and analyze large streams of unstructured data, such as audio and video. From an end-user perspective, this allows businesses in sectors like media, government, and legal to automatically transcribe audio, recognize faces, translate languages, and search for specific objects or events within video archives, transforming vast amounts of data into actionable intelligence and automating complex workflows.
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