I operate at the intersection of architecture, reliability, and capital discipline.
Technology decisions are not about tools. They are about scale, risk, and velocity.
Architecture & modernization
I lead modernization efforts designed to improve iteration speed, reduce systemic risk, and support long-term growth.
Patterns I operate within:
- Modular microservices with clear domain ownership
- Event-driven architectures enabling decoupled scalability
- API-first systems supporting partner and B2B growth
- Observability embedded as a first-class requirement
- Release governance that increases deploy frequency without destabilizing the system
Modernization is not about new tech, it’s about controlled evolution.
Reliability & SRE leadership
I treat reliability as a measurable outcome.
That includes:
- Clear escalation ownership
- Defined SLAs and service expectations
- Structured incident learning loops
- KPIs tied to uptime, recovery time, and repeat failure
Operational rigor enables strategic velocity.
Cloud economics & capital discipline
Cloud scale without cost discipline becomes liability.
My approach:
- Standardization where it increases leverage
- Spend visibility by domain and workload
- Cost accountability embedded into design reviews
- Continuous optimization across infrastructure and data platforms
Reducing six-figure monthly spend is not accidental, it is structured.
Data platform leadership
In my interim data leadership role, I oversee a Databricks-based data platform focused on governance, reliability, and analytics readiness.
Key priorities:
- DBU optimization and workload discipline
- Reporting accuracy and executive visibility
- Strengthening data quality and operational trust
Data becomes strategic only when it is reliable.
AI as a capability
AI is a capability, not a slogan.
Where it belongs:
- Workflow acceleration
- Predictive decision support
- Operational efficiency
Where it does not:
- Vague innovation without ROI
- Unmeasured experimentation
AI must earn its place in the roadmap.