About Daniel

Fractional CTO – Strategic technical leadership grounded in depth

Daniel J. Broz

Fractional Chief Technical Officer

Ph.D. (AI) Candidate, MBA, BSCS

I'm a Fractional CTO currently serving DataVersion.ai, where I leverage my extensive expertise in AI systems to drive technical strategy and execution. I combine deep technical depth—cloud, AI/ML, multi-platform—with business acumen and leadership experience to help startups and scale-ups make the right technology decisions.

With a proven track record of successful cloud migrations, AI implementations, and technical leadership, I've helped organizations from Fortune 500 companies to early-stage startups transform their operations. I maintain active certifications from AWS, Google Cloud, and Microsoft, and DanBroz.com, LLC is a registered member of the AWS Partner Network, Microsoft AI Cloud Partner Program, and Google Cloud Partner Advantage.

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Leadership Principles

I believe technology should serve the business, not the other way around. My approach focuses on alignment with business goals, clarity in decisions, and pragmatic execution. I help teams move from ambiguity to action—defining roadmaps, making build-vs-buy calls, and scaling both technology and people.

Core Values

Alignment

Technology decisions that directly support business outcomes and growth.

Clarity

Transparent communication and clear roadmaps so teams know where they're headed.

Pragmatism

Practical solutions over perfection—ship, learn, iterate.

Integrity

Honest assessments, ethical practices, and trust through consistency.

Notable Experience & Leadership

My background spans enterprise cloud, AI research, and nonprofit leadership:

  • Cloud & Infrastructure: Led VMware to AWS migrations for AT&T CCMS; migrated .NET applications across AWS, Azure, and GCP; created Cloud Adoption Frameworks and Terraform for SAP; IAM, hardening, and encryption for Fortune 500; MySQL/PostgreSQL to GCP Cloud SQL; hybrid cloud (VMware NSX + AWS) for government
  • Leadership: Founder of AI Without Borders (Oct 2017–Apr 2023, 5+ years)—international nonprofit applying AI to global health, medical imaging, disease detection; CNN models including breast cancer detection (99.44% accuracy); open-source research and responsible AI
  • Research & Product: Ph.D. (AI) candidate at Capitol Technology University (dissertation: Ranking LLMs in 26 Academic Fields); AI Second Eyes—cancer detection system in FDA 510(k) Class II review; US Law, Tax, Patent, and Research Paper RAG systems; Biological Basis of Mental Health Disorders (RAG + OpenAlex + Gemini)

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