Craig Larman

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Craig Larman is the co-creator of LeSS (Large-Scale Scrum), with his friend and colleague Bas Vodde. He works as an organizational design consultant, introducing LeSS with executive teams for very large and multisite product development (often, HW-SW systems). He also works with product management for highly complex product definitions, and hands-on as an embedded-systems legacy-code C and C++ TDD coach, to keep in touch with the real work and workers.

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Although one of the very first LeSS trainers and CSTs, he practices and encourages a focus on doing over teaching.

Craig has been named one of the top 20 Agile influencers of all time and is the co-author of several books on scaling lean & agile development with LeSS, including:

Craig has served as the lead coach of lean software development adoption at Xerox, and serves or has served as a consultant for LeSS and large-scale agile adoptions at BMW (on the autonomous-driving car LeSS adoption), Ericsson, JP Morgan, Cisco-Tandberg, Bank of America Merrill Lynch, Alcatel-Lucent, UBS, bwin.party, and Nokia Networks and Siemens Networks, among many other clients. Craig has also served as chief scientist at Valtech, with a division in Bengaluru where together they evolved LeSS for agile offshore development.

His work includes one of the first and best-selling globally popular books on agile methods: Agile & Iterative Development: A Manager's Guide.

He is one of the first Certified Scrum Trainers and practicing Scrum Master, starting in the 1990s while at Chevron Research.

In addition to debugging and re-designing organizations, Craig is an expert in designing (and helping people to design) software systems. He is the author of Applying UML & Patterns: Object-Oriented Analysis & Design, one of the world’s best-selling texts on software design, translated to many languages and used worldwide in universities and industry as the standard for introducing software analysis and design, modeling, design patterns, architecture, and OOA/D.

Craig holds a B.Sc. and M.Sc. in computer science from beautiful SFU in Vancouver, BC, with research emphasis in artificial intelligence (having very little of his own).

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