FinOps · Cloud Economics · AI Financial Governance
I work across Finance, Engineering, Architecture, and platform teams to improve cloud cost efficiency, build financial accountability, strengthen investment decisions, and connect technology consumption to measurable business outcomes.
My work focuses on enterprise FinOps operating models, cloud economics, engineering cost optimization, and financial governance for AI workloads.
I work at the intersection of cloud engineering, finance, architecture, and business accountability.
My focus includes cost allocation, forecasting, commitment strategy, optimization, governance, unit economics, cloud cost data, engineering accountability, and AI financial management.
I approach FinOps as an operating discipline rather than a reporting function. The objective is to give engineering teams, finance teams, and technology leaders reliable economic evidence for better decisions.
Practical work focused on the financial architecture, governance, and economics of modern technology platforms.
A practical guide to designing cloud environments with economic architecture embedded into cloud strategy, workload placement, organizational structure, observability, resilience, commercial models, governance, and engineering decisions.
Book pageA practical playbook for token economics, agent workloads, GPU infrastructure, AI cost allocation, forecasting, model economics, unit economics, and financial governance.
Book pagePerspectives on FinOps, cloud financial management, engineering accountability, and AI economics.
Cloud cost governance as an operating discipline across engineering, finance, architecture, and accountability.
How AI changes cost drivers, governance, engineering accountability, and unit economics.
Open frameworks and practical work supporting enterprise FinOps.
A practical enterprise framework covering FinOps strategy, governance, allocation, forecasting, optimization, KPIs, commitments, cloud platforms, Kubernetes, and AI FinOps.
View projectFor professional discussions related to FinOps, cloud economics, AI financial governance, publishing, or research.