Experience & background

• • Core contributor to Ford Credit's mobile rebuild (850K+ iOS users, 1M+ total), helping move the app from React Native to native Swift and Kotlin with Apollo GraphQL.
• • Helped architect a shared component library using atomic design principles for Ford Credit mobile apps, with standards spanning iOS and Android.
• • Built critical flows including Azure B2C auth, onboarding, payments, transaction history, vehicle valuation, trade-in, and DocuSign integrations using MVVM.
• • Lead iOS analytics architecture with a custom Adobe SDK wrapper; technical lead for validating instrumentation across a 15+ developer team.
• • One of two local iOS developers on a distributed team; contribute technical leadership, code reviews, and mentorship across time zones.

• • Maintained Ford's high-performance computing infrastructure for global AI/ML workloads.
• • Developed computer vision models to identify dashboard indicators, accelerating vehicle dashboard approval for Product Development.
• • Collaborated with AI/ML teams to optimize code for Ford compute systems using PyTorch, TensorFlow, GCP, and Vertex AI.

• • Built and maintained Angular UI applications for data replication and data quality monitoring.
• • Launched real-time customer-facing applications within a large cross-functional development team.
• • Created interfaces that helped Ford data scientists retrieve data efficiently from centralized sources.

Bachelor of Science in Computer Science

Central Michigan University · Mount Pleasant, Michigan

Graduated December 2019