Reese Bowes

Rebuilt the engineering organization from zero, standing up CI/CD pipelines, AWS/GCP infrastructure, and security compliance to enable the company’s first clean production deployments in ten years. Established a design system and component architecture, led UX research to inform the roadmap, and articulated scalable technology strategy supporting investor fundraising.

Designed and built production web components for the Google AI homepage, delivering interactive prototypes used by millions of users. Led UX prototyping, research, and technical strategy across multiple enterprise/client engagements and maintained design system alignment across 5+ simultaneous teams while mentoring junior and mid-level designers.

Designed and developed AI-augmented products (mobile apps, analytics dashboards, and customer service systems) for multiple clients, delivering from concept through working prototypes. Led UX research and analysis across concurrent engagements to define AI augmentation strategy for public and private sector organizations.

Defined UI/API specifications and documentation for the USGS Water Mission Area’s National Groundwater Monitoring Service, establishing design standards used by global water scientists. Co-directed interface development for data and analytics workflows, designing data-dense dashboards and compliance tooling and working with GraphQL, SQL, dbt, DataBricks, and Amazon QuickSight to improve data acces

Led a 9-month UX research and API strategy initiative for Intel’s Network & Edge developer relations team, auditing API documentation across five production platforms and benchmarking 10+ competitor developer portals. Built an edge computing validation lab for interoperability testing, with findings seeding the architecture of Intel’s Tiber AI Cloud Platform and establishing enterprise DX standard

Led concept and industrial design for GM’s “Future of Autonomous Vehicles” project, building a Wizard-of-Oz interactive experience to support UX research on autonomous vehicle interactions. Created immersive prototypes and spatial interaction designs using TouchDesigner, Rhino3D, Processing, Unity, and Unreal for enterprise clients.

Directed a five-year multidisciplinary R&D portfolio spanning AR/VR head-mounted displays, search-and-rescue drone systems, military wearable devices, agricultural monitoring hardware, and spatial computing robots. Produced 11 U.S. patents and carried devices from concept to delivery, including mechanical modeling, multi-material 3D printing, embedded system assembly, and digital interface/softwar

Designed a telemedicine patient monitoring application enabling real-time biometric data sharing between patients and primary care providers via connected devices. Conducted field research with clinicians, created ML-assisted prototypes for disease prediction and clinician scheduling, and produced UX specifications to inform Intel’s healthcare product strategy.

Led CI/CD pipeline improvements (TeamCity with REST APIs/Python) that increased processor emulation test coverage from 60% to 90% across five global sites. Performed hardware validation across Intel Core processor generations, contributing to validation of IA-32 and IA-64 instruction sets.

Earned an MFA in Applied Craft & Design through Oregon College of Art and Craft and Pacific Northwest College of Art.

Completed graduate coursework in artificial intelligence and linguistics, including NLP and AI, while working full-time at Intel.