Corey Breshears

Bachelor's

Computer Science

Toptal

Sr. Software engineer

Led the end-to-end development of a real-time asset tracking system, leveraging advanced technologies to enhance operational efficiency and user experience for over 1,000 concurrent users, enabling more effective monitoring and management of assets across diverse environments - Architected and designed the system infrastructure leveraging React, Node.js, and AWS, creating a scalable and modular platform that enhanced user engagement by 30% and supported seamless integration across diverse environments - Engineered microservices for location data ingestion and processing, achieving 99.9% uptime by implementing robust containerization and orchestration techniques using Docker and AWS ECS, ensuring reliability for mission-critical applications - Built and deployed a real-time notification system utilizing WebSocket APIs, enabling sub-second updates and reducing delays in device communications for millions of global assets - Implemented advanced caching strategies with React Query and Redis, resulting in a 50% reduction in API call volumes and improving application responsiveness by 35%, particularly during peak usage periods - Optimized accessibility compliance, ensuring adherence to WCAG 2.1 AA guidelines, and redesigning key workflows, leading to a 20% increase in usability scores among users with diverse needs and abilities - Integrated Google Maps APIs, delivering advanced real-time asset visualization features, which improved task completion rates by 25% through intuitive and interactive mapping interfaces - Led the creation of a shared React Native codebase, achieving 85% code reuse and accelerating mobile application development timelines by 25% - Established an automated testing framework using Cypress and Jest, reducing bugs by 70% and decreasing QA cycles by 50%, resulting in 99% build stability Designed and implemented an end-to-end integration and data consistency solution for a cloud-based healthcare platform, leveraging advanced event-driven architecture to synchronize health and schedule data for thousands of users, improving predictive accuracy and enabling proactive fatigue management across diverse workforce environments - Led the development of a robust healthcare platform using React for web and React Native, achieving a seamless cross-platform experience that increased user engagement by 30% - Architected and implemented scalable backend APIs with Node.js, improving system performance by 40% and enabling real-time data processing and integration - Enhanced the platform's AI Prediction Service, leveraging AWS SageMaker to increase fatigue prediction accuracy by 25%, leading to better workforce management and safety outcomes - Utilized AWS services such as Lambda and RDS to achieve scalable, reliable, and robust back-end infrastructure, resulting in a 99.9% uptime and supporting rapid growth in data and user demands - Designed and deployed a comprehensive CI/CD pipeline for seamless integration and delivery, reducing deployment times by 50% and ensuring high-quality releases across multiple environments - Spearheaded efforts to improve app performance and optimization, leading to a 40% reduction in load times for both web and mobile applications, thereby enhancing user satisfaction - Guided a team in the implementation of advanced data security protocols, using AWS Identity and Access Management, resulting in a 50% improvement in data protection and compliance