Key Features
Real-time shipment tracking across the U.S. for dispatchers and operations teams
Live onboarding and quoting system for customers, rebuilt for high performance
Logistics dashboard for operators to track, filter, and manage active shipments
Real-time chat system between agents and customers using WebSockets
Performance-optimized UI/UX, enabling faster workflows for sales and dispatch teams
Scalable architecture supporting thousands of daily active operations events
My Contribution
Led the end-to-end migration of the sales onboarding tool—used by customers to arrange and order logistics services—from AngularJS to React. Re-architected the interface, redesigned core components, refactored API integrations, and optimized performance. Implemented a modern React component structure, code-splitting, and improved backend request handling, resulting in 45% faster load times, a cleaner and more maintainable codebase, and a significantly smoother onboarding experience for thousands of monthly customers.
Designed and developed the real-time transportation tracking dashboard for logistics operators. Built high-frequency data updates via REST and WebSockets in Angular, integrated live route visualization, enhanced filtering, and added operational alerting. This dashboard became the core operations tool and increased efficiency by 55%, reducing manual tracking and improving delivery accuracy.
Architected a scalable real-time tracking system for dispatchers, enabling live monitoring of nationwide vehicle shipments. Implemented event-driven updates, optimized query performance, and created a unified data model for consistent tracking information. These improvements reduced customer-reported tracking issues by 30%, leading to a 35% boost in customer satisfaction.
Developed a real-time chat system between agents/dispatchers and customers using Node.js, WebSockets, and Angular. Built typing indicators, delivery status events, persistent chat history, and a responsive UI. This feature streamlined communication, reduced support tickets, and increased transparency throughout the shipping process.
Improved platform performance and reliability by profiling slow endpoints, optimizing backend queries, reducing redundant data calls, and implementing UI rendering optimizations. Ensured the system could scale with Diesel Auto Express's growing volume of thousands of monthly shipments.
