Strategic AI Engineering Leader. Specializing in taking AI solutions from 0 to 1.
I don't just optimize models; I build the entire technical roadmap, from data strategy to deployment, ensuring your MVP is viable and scalable.
Deep experience in MedTech (HIPAA/ISO) and Aerospace. I build AI that is safe, compliant, and ready for the real world.
I bridge the gap between business goals and engineering reality, leading teams to deliver high-impact solutions.
Real-world AI implementations delivering measurable business impact.
Led development of a 'Scan-to-Pattern' AI engine and Fit Prediction system, enabling fully automated made-to-measure garment production at scale.
Spearheaded a GenAI agent platform for ISO13485 compliance, transforming weeks of manual document review into an automated, auditable workflow.
Owned end-to-end delivery of an edge ML pipeline for real-time motion tracking—from research through production deployment on Android devices.
Led delivery of an iPad eye-tracking system that enables paralyzed and intubated patients to communicate and control devices using only their eye movements.
Delivered a personalized recommendation engine that surfaces the right wellness content to millions of users, driving engagement and retention.
Designed and facilitated a comprehensive data science training program, mentoring analysts through the full project lifecycle while ensuring alignment with business objectives.
Embedded strategic leadership for growing AI teams. Define roadmaps, hire talent, and establish best practices without full-time overhead.
Comprehensive AI stack audits for investors and acquirers. Evaluate technical feasibility, team capability, and scalability risks.
End-to-end architecture and delivery of initial AI prototypes. From problem framing through production deployment.
Upskill your data and engineering teams with hands-on AI/ML workshops. From Python fundamentals to production MLOps.
Trusted by leading organizations