Profile
Data & AI, enterprise platforms, and complex delivery programs
For more than twenty years, I have combined an engineering mindset, organizational context, and accountability for outcomes. I build Data & AI capability — strategy, data governance, architecture, a portfolio of AI use cases, and delivery — so solutions enter business processes rather than remaining demonstrations.
No single job title captures what I do. Depending on scale and context, I may operate as CTO, Head of Data & AI, Consulting Director, or leader of a complex program. The through-line is the same — connecting technology, people, and the organization to turn capability into working systems.
The primary scale of my work is enterprise programs: large teams, distributed stakeholders, partners, and multi-year implementations. My applied practice keeps the engineering connection intact: I frame the task, shape the architecture, organize delivery, and write code when needed.
Today, the main direction for these experiments is AI — not a standalone showcase, but technology that must be embedded in processes: pick a meaningful use case, validate it on live data, meet IT and information security requirements, run a pilot, and assess whether it can stick.
The cases section spans this full range: from federal-scale data platforms and bank Data Lake programs to enterprise knowledge bases, ML pipelines, and secure use of cloud models.