Author
Matthew Loschiavo
Technology executive, architect, operator, and author
Matthew Loschiavo is a technology executive, architect, and operator with more than two decades of experience building, scaling, and running production software systems.
- 20+ years building, scaling, and operating production software systems.
- Bachelor of Science, Georgia Institute of Technology.
- United States Air Force Veteran (Honorable Discharge).
Matthew Loschiavo is a technology executive, architect, and operator with more than two decades of experience building, scaling, and running production software systems where technical decisions carry real business consequences.
His work spans cloud infrastructure, distributed systems, enterprise platforms, and AI- and data-intensive environments, including large multi-tenant SaaS estates with significant spend, demanding enterprise customers, and meaningful uptime, security, and operational risk.
He holds a Bachelor of Science from the Georgia Institute of Technology, along with Azure and DevOps certifications and FCC commercial licenses. He also served honorably in the United States Air Force and has taught computer science as an adjunct professor.
At a glance
Experience
20+ years building, scaling, and operating production software systems.
Focus
Workflow-first strategy, operating economics, ownership, and execution accountability.
Operating Context
Enterprise and multi-tenant SaaS systems with high availability and security expectations.
Credentials
Bachelor of Science, Georgia Institute of Technology; Azure/DevOps certifications; FCC licenses.
Service and Teaching
United States Air Force Veteran (Honorable Discharge); former adjunct professor of computer science.
Selected operating environments
- Large multi-tenant SaaS platforms with high infrastructure spend and strict availability expectations
- Enterprise customer environments with meaningful uptime, security, and contractual risk
- Production systems where support burden, incident response, and change velocity shaped architecture
- Cross-functional operating contexts where engineering, product, finance, legal, and governance had to align
Speaking and advisory topics
- AI readiness versus AI theater
- Workflow-first AI strategy and investment sequencing
- Cost behavior of AI systems in production
- Build-versus-buy infrastructure decisions and long-term operating burden
- Governance, trust boundaries, and execution accountability
For interview angles and session formats, visit Media & Speaking. For speaking and advisory requests, use Contact.
Before You Buy GPUs is written from an operator's perspective: practical decisions tested by real workflows, economics, ownership, and systems that still have to run under pressure.