Cameron Atkinson

Developed and deployed features for iOS and Android, including implementing C# Web API endpoints with strict idempotence across platforms for 1M+ users. Integrated GraphQL into native iOS and Android to ensure seamless data flow. Enhanced biometric authentication with robust data encryption and secure key management protocols across the platform. Improved performance using Redis caching and lazy loading to reduce real-time data latency. Resolved long-standing bugs across backend services and mobile applications through thorough investigations and effective fixes. Authored detailed technical specifications, documentation, and test case requirements to streamline QA verification. Automated iOS and Android release cycles by building an Azure DevOps pipeline (test/merge/build/staged deploy) supporting 4+ concurrent project repositories.

Developed and deployed new features for iOS and Android applications, enhancing user experience and platform capabilities. Implemented C# Web API endpoints (idempotent across platforms) serving 1M+ users. Integrated GraphQL into native iOS and Android apps for seamless data flow and functionality. Collaborated with cross-functional teams of 6+ (product managers and UX designers) to translate business requirements into technical specs. Enhanced biometric authentication with robust data encryption and secure key management across the platform. Improved mobile performance with Redis caching and lazy loading to reduce real-time data latency. Resolved long-standing bugs across backend services and mobile apps, improving overall platform reliability. Authored QA technical specifications, documentation, and detailed test case requirements to streamline verification. Automated iOS/Android release cycles with a three-stage Azure DevOps pipeline for testing, merging, building, and staged deploym

Architected and developed mobile applications using Xamarin, React Native, Swift, and Kotlin for spectrocopy measurement solutions supporting 500+ active users. Built a proprietary distributed Python ML preprocessing pipeline to prepare larger raw spectro dataset(s), increasing data processing throughput by 20%. Integrated Hones ML framework into mobile and web platforms, reducing real-time inference by 30% for real-time model training. Managed automated build and deployment pipelines in Azure DevOps using custom scripts to support 3+ concurrent project repositories and drive automated testing. Maintained 100% version control coverage across all mobile and ML repositories. Conducted and oversaw 500+ peer code reviews to ensure software quality, documentation, and best practices. Supervised and developed cross-functional teams (6+ mobile developers, ML engineers, and data scientists) to promote technical growth and project success.