Selected impact · Leadership
From founder-led delivery to a measurable operating model
Processes, KPIs, evidence and operating reviews that made delivery more repeatable without turning a small team into a bureaucracy.
View impactSelected impact
Leadership, architecture and risk demonstrated in context.
The public portfolio is deliberately selective. Each story separates context, personal responsibility, key decisions, the defensible outcome and explicit limits.
Flagships
Four dimensions of one senior practice.
Selected impact · Critical platform
Restore first, modernize second
Controlled recovery of legacy applications: containment, a clean environment, protected publishing, selective restoration and an explicit modernization map.
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Selected impact · Risk governance
From isolated controls to a governable cybersecurity program
A vCISO-style operating model with a risk register, owners, policies, executive metrics, incident readiness and a 30/60/90 roadmap.
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Selected impact · Modernization
Modernize by capability without betting everything on replacement
A progressive route for a legacy platform using capability boundaries, contracts, single-writer ownership, reversible releases and cross-boundary observability.
View impactSelected experience
Executive responsibility without manufacturing a customer outcome.
These items demonstrate role breadth and operating judgment. They are labeled as experience because engagement-level quantitative evidence is not yet available.
Selected experience · CTO
Connecting product and consulting without pretending they operate alike
Strategy, architecture, security, cloud and data for an organization combining a software product with a professional-services practice.
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Selected experience · Business unit
Launching an ERP practice across business, architecture and delivery
From discovery and consultative sales to architecture, implementation, integration, analytics and cloud operations for mid-market organizations.
Read experienceEvidence policy
A case is not valuable because it sounds large.
Stories are anonymized and do not combine different customers. Cross-context learning is kept as a pattern note. Unrecovered metrics, unimplemented outcomes and sensitive details are removed or declared as limits.
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