GeoAI Solution LLC

Amin Tayyebi is an Enterprise AI Executive and Data Science Leader with over 15 years of deep technical and strategic experience driving digital transformation across complex, regulated industries, including Healthcare, Insurance, Airlines, Energy, Utilities, and Agriculture. Recognized as a trusted C-suite advisor, he is an expert at translating cutting-edge AI breakthroughs into highly resilient, risk-mitigated enterprise solutions that maximize capital efficiency and drive multi-million-dollar operational growth. Amin is a proven executive champion who has secured $100M in aggregate enterprise capital funding and has built, scaled, and led a 100+ person global AI engineering organization (onshore/offshore) to systematically modernize legacy workflows into high-yielding, agentic ecosystems. Holds a Ph.D. in Computer Science from Purdue University, his executive-level consulting and leadership encompass end-to-end project management, AI implementation strategies, and comprehensive data architecture orchestration.

As a hands-on visionary executive, Amin orchestrates the deployment of next-generation machine learning, deep learning, and advanced agentic AI architectures across diverse enterprise domains. In his leadership capacity as Senior Director of Generative AI Engineering, he secures significant capital funding to scale global AI engineering organizations and architect multi-agent frameworks that deploy autonomous solutions across complex enterprise ecosystems. Previously, as Director of Data Science & Machine Learning, he championed production-grade optimization, predictive forecasting, generative NLP pipelines, and AI agent deployment to drive strategic corporate initiatives and maximize operational benefits. His foundational leadership experience as a Data Science Manager includes spearheading high-performing, cross-functional teams to engineer autonomous workflows, predictive asset models, and cutting-edge spatial deep learning frameworks.

Amir Tayyebi is a highly accomplished technical executive and data architecture leader with over 15 years of deep strategic and technical experience driving large-scale digital transformation across complex, regulated sectors, including Insurance, Automobile, Real Estate, Oil & Gas, and Agriculture. Recognized as a trusted C-suite advisor, Amir excels at translating cutting-edge AI breakthroughs into resilient, risk-mitigated enterprise ecosystems that maximize capital efficiency and deliver multi-million-dollar operational growth.

As a hands-on technical visionary, Amir specializes in solving complex architectural and scalability challenges, modernizing legacy workflows into high-yielding, agentic ecosystems. His elite expertise spans the complete data lifecycle, including the orchestration of decentralized Big Data applications, DataOps, MLOps, LLMOps, and robust data governance frameworks. Notably, his career features massive-scale infrastructure achievements: he designed and deployed property software supporting over a million users mapping real-world attributes via Google Maps, and engineered a centimeter-level precision LiDAR point cloud processing solution serving accurate road centerlines to over 50 million customers across North America. Amir seamlessly pairs deep geospatial data engineering mastery (managing vast vector and high-velocity raster imagery) with cutting-edge Large Language Model design patterns, such as agentic workflows and Retrieval-Augmented Generation (RAG), to architect sustainable competitive advantages for global enterprises