Reduction in unplanned operational downtime through predictive asset-lifecycle management capabilities.
Building enterprise AI, data, and SaaS products for better decisions.
I lead 0→1 AI initiatives and scaled enterprise platforms across predictive analytics, LLM-enabled MVPs, cloud integrations, APIs, operational analytics, and data products.
Selected impact
Annual recurring revenue supported by an enterprise OEM integration platform.
Monthly transactions processed across 300+ transaction types and 25,000+ dealership endpoints.
Selected work
AI-Assisted Repair vs. Replace
Predictive maintenance, IoT telemetry, operational decision support, and precision-versus-recall product tradeoffs.
Read case study →LLM Decision-Support MVP
LLM product planning, prompt guidelines, evaluation harnesses, feedback loops, and enterprise safety guardrails.
Read case study →OEM Integration Platform
High-scale APIs, enterprise SaaS, cloud modernization, and product delivery across automotive OEM integrations.
Read case study →How I work
I begin with users, workflows, and business risk; translate ambiguous opportunities into product strategy and measurable outcomes; and partner with engineering, data science, architecture, design, and business teams through discovery, delivery, launch, and iteration.