Executive-level program leader driving software, data, and risk transformation across regulated global enterprises.
Drives full-lifecycle program frameworks for hardware + software medical devices, embedding Design Controls, SDLC phase gates, and risk-based decision making from ideation through commercial launch.
Owns end-to-end timelines, budgets, and resource plans across R&D, engineering, quality, regulatory, and clinical teams; turns ambiguous requirements into committed milestones and holds everyone lovingly accountable.
Builds integrated risk management into product architecture and data flows; ensures every requirement, verification, and validation artifact is traceable, auditable, and ready for regulatory submission on day one.
Implements model-governance frameworks that ensure data integrity, drift detection, and regulatory alignment for ML systems operating at scale.
Surfaces system-level risks through cross-domain insight and game-theoryโinformed analysis, driving strategies that stabilize critical environments and reduce exposure.
Distills multi-layered risk insights into concise guidance that drives aligned decisions across technical and executive stakeholders.
Snowflake | Kafka | Collibra | GCP | AWS
Data Governance | AI/ML Compliance | Infrastructure Modernization
Agile (SAFe / Scrum) | Risk Management | Ethical AI
University of Maryland
Certified ScrumMaster (CSM)
Certified Scrum Product Owner (CSPO)
Large-scale NLP system analyzing 200K+ forum discussions using 9 custom BERT models. Demonstrates end-to-end technical delivery: database architecture, GPU-accelerated ML inference, statistical validation, and interactive visualizations.
View Project on GitHub โ