Rae V. Hill

Spearheaded a production support-tool microfrontend and deployed synchronization infrastructure and services that bridged internal and partner data sources via async pipelines. Provided L3 support and database analytics for production ERPs and connected systems.

• Built an internal React microfrontend with SSO/OIDC authentication, cutting L2/L3 ticket resolution-time from weeks to hours.
• Built ETL Lambdas that consumed partner Kafka streams (AWS MSK + SQS) and services for synchronizing PostGIS data for high-resolution spatial boundaries.
• Provided on-call L3 support, database analytics, reporting, and observability for production enterprise resources.

Led the authentication replatforming initiative, migrated to AWS WAF Captcha, integrated with a partner tax platform for federal withholdings and royalties, and redesigned the entire artist marketplace experience from scratch.

• Engineered a high-performance hybrid SSR server serving over 600,000 requests daily; deeply introspected with Open Telemetry (OTel)
• Retrofitted legacy codebases with a new W9 and W8 tax document vendor, saving thousands of personnel hours in manual document collation.
• Architected an OAuth 2.0 backwards compatible authentication system powered by Cognito, paving the way for future replatforming and increased security throughout the site.
• Maintained a legacy Ruby on Rails codebase gradually transitioning to NodeJS microservices.

Engineered a sophisticated quotas management UI to design specifications and analyzed Kubernetes system performance using a NodeJS-based browser emulation platform.

• Engineered VM interface load testing suites to benchmark critical virtual environment performance.
• Implemented sophisticated UI for managing an organization's VM resource availability, allocation, and access.

Integrated with partner peripherals using Web-Bluetooth, solved WebGL rendering anomalies, and engineered a patient management portal for care providers.

• Corrected complex temporal WebGL rendering bugs with Addison, a virtual care assistant.
• Tech lead for a pandemic symptom-checker app with Bluetooth peripheral integration.

Engineered an arbitrarily deep file selector, and used tensorflow for image manipulation in real time.

• Implemented a file picker aware of user permissions and scope that could nest deeply.
• Adopted TensorflowJS for projecting multi-band cell stains into visual spectra in real-time.