Andrey Cunha


Andrey Cunha is a strategic enterprise architect, socio-technical organization designer, and collaboration facilitator with over 20 years of experience in IT strategy, digital transformation, and complex system design. His expertise blends enterprise architecture, Domain-Driven Design (DDD), IT Service Management (ITSM), and Agile methodologies to help organizations navigate technological and structural evolution while fostering effective collaboration across teams. 


Andrey Cunha believes successful transformation is not just about technology, but about enabling adaptive, self-organizing teams and fostering a culture of knowledge sharing and alignment. He applies collaboration modeling, visual facilitation, and complexity-informed decision-making (Cynefin, Deep Democracy, Team Topologies) to bridge organizational strategy, IT governance, and team dynamics.

He specializes in breaking down silos between business and technology, ensuring shared understanding of system design, dependencies, and value streams. Using socio-technical architecture approaches, he helps organizations build modular, autonomous, and resilient ecosystems that enhance agility, efficiency, and sustainability.

As an advocate for collaborative modeling, he facilitates event storming, domain storytelling, and business capability mapping. Passionate about organizational design, he mentors and coaches teams on modern software delivery, adaptive governance, and continuous learning. His mission is to empower organizations to build sustainable, high-quality, and adaptive digital ecosystems.

Upcoming courses

LLMOps on GCP

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP). In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape. In this hands-on learning experience, you will learn best practices for building modular LLM applications. In the process, you will gain a solid understanding of the nuances between traditional MLOps and LLMOps. The course will also equip you with the skills to iterate and analyze production data, enabling you to identify and implement continuous improvements for real-world success. Elevate your LLMOps proficiency on GCP and gain practical insights for seamlessly integrating AI solutions into today’s dynamic technological landscape.

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Trainer content

Disciplines

Software
Engineering