George Avetisyan

Geo is a Principal Engineer with over 8 years of experience building production AI and ML infrastructure across AWS, GCP, and Azure. He specializes in platform engineering and AI systems, leading teams through strategic technology decisions and implementing scalable solutions that transform how organizations deploy and operationalize artificial intelligence. Throughout his career, Geo has architected end-to-end AI systems spanning demand forecasting, production model monitoring, and enterprise ML platforms. His expertise covers the full spectrum of AI engineering—from infrastructure design and feature engineering to automated monitoring, drift detection, and integration of emerging AI capabilities into production environments. Beyond his engineering work, Geo is a content creator focused on AI infrastructure, generative AI, and platform engineering topics. He's passionate about sharing knowledge and helping teams navigate the rapidly evolving AI landscape. His background combines hands-on technical implementation with strategic platform decisions. Geo's diverse interests extend to robotics, hardware projects, and exploring how AI and technology connect people across cultures. His early experience with technical problem-solving and a family background in engineering shaped his approach to tackling complex AI challenges with practical, innovative solutions.