Lead from the decision
Align the business question, owner, stakeholders, constraints, and action before selecting a model or tool.
Connecting business ambition, trusted data, and responsible AI.
I translate enterprise questions into governed decision systems, adoption plans, and measurable business outcomes.
How I work
Between business and technology
I start with the executive question and the decision it serves, then connect them to data definitions, analytical methods, and the right controls.
From question to adoption
The work doesn't end at a model or a dashboard. It includes stakeholder alignment, testing, communication, and a clear plan for how the system will be used and measured.
Responsible AI and governed data
Data quality, explainability, human review, ownership, and visible trade-offs are part of the decision design, not an afterthought.
A product-builder's perspective
Shipping Ultra Murdle for iPhone and iPad taught me what bilingual experience, privacy, release quality, and learning from real use demand.
Leadership philosophy
Build trust into the system
Treat definitions, lineage, data quality, controls, and responsible AI as operating requirements.
Make trade-offs visible
Show what the system optimizes, where judgment remains, and how risk changes with each choice.
Design adoption and measurement
Co-create the workflow, communicate clearly, and define how behavior and value will be measured.
Current focus
Leading NADEC's Business Analytics function toward governed Data & AI: AI solutions in production, value-based prioritization, SAP Datasphere and SAC Planning, and the Microsoft Fabric evaluation.
A technical foundation in computer science
M.S. Computer Science
California State University, Dominguez Hills
B.S. Computer Science
Morgan State University