
Richard Cheng developed core features for the Erio-Harrison/SAVMS platform, focusing on scalable user and vehicle management, real-time telemetry, and secure role-based access. He designed and implemented service-layer architectures using Java Spring Boot and MongoDB, modernized build systems with CMake, and integrated remote data ingestion via HTTP and libcurl. Richard enhanced operational visibility by delivering real-time vehicle tracking, task assignment workflows, and an AI chatbox with streaming responses, while also improving authentication and UI/UX. His work demonstrated depth in backend and frontend development, robust API integration, and careful attention to maintainability, data integrity, and evolving business requirements throughout the project.

2025-09 monthly summary for Erio-Harrison/SAVMS focusing on delivering core task-workflow features, improving vehicle utilization, and enabling AI-assisted interactions. The month centered on enabling efficient task-to-vehicle workflows, streamlining task lifecycle, and strengthening AI-enabled support capabilities to drive faster decision-making and resource utilization.
2025-09 monthly summary for Erio-Harrison/SAVMS focusing on delivering core task-workflow features, improving vehicle utilization, and enabling AI-assisted interactions. The month centered on enabling efficient task-to-vehicle workflows, streamlining task lifecycle, and strengthening AI-enabled support capabilities to drive faster decision-making and resource utilization.
Concise monthly summary for 2025-08 focused on admin vehicle monitoring enhancements, data reliability, UI improvements, and simulator realism. Delivered features and fixes that improve operational visibility, user experience, and system hygiene while delivering measurable business value.
Concise monthly summary for 2025-08 focused on admin vehicle monitoring enhancements, data reliability, UI improvements, and simulator realism. Delivered features and fixes that improve operational visibility, user experience, and system hygiene while delivering measurable business value.
May 2025 monthly summary for Erio-Harrison/SAVMS. Delivered core RBAC-enabled authentication and access control, real-time vehicle tracking features, and foundational build-system modernization, driving security, visibility, and maintainability. Notable work includes enabling role-based UI routing, backend role endpoints, and enhanced login UX; implementing automatic vehicle list refresh every 10 seconds with live location data on task maps; and migrating the engine component build workflow by removing CMakeLists.txt as part of a broader tech-debt resolution. Together these efforts improve security, operational awareness, and developer efficiency while laying groundwork for future platform refinements.
May 2025 monthly summary for Erio-Harrison/SAVMS. Delivered core RBAC-enabled authentication and access control, real-time vehicle tracking features, and foundational build-system modernization, driving security, visibility, and maintainability. Notable work includes enabling role-based UI routing, backend role endpoints, and enhanced login UX; implementing automatic vehicle list refresh every 10 seconds with live location data on task maps; and migrating the engine component build workflow by removing CMakeLists.txt as part of a broader tech-debt resolution. Together these efforts improve security, operational awareness, and developer efficiency while laying groundwork for future platform refinements.
Concise monthly summary focusing on key technical and business outcomes for 2025-04 (Erio-Harrison/SAVMS).
Concise monthly summary focusing on key technical and business outcomes for 2025-04 (Erio-Harrison/SAVMS).
For 2025-03, delivered core system capabilities (User and Vehicle management) with a service-layer architecture on MongoDB, modernized the build pipeline, and integrated remote telemetry ingestion. These improvements provide a scalable foundation for user data governance, vehicle lifecycle management, streamlined build/deploy, and reliable remote data processing for downstream analytics and operations.
For 2025-03, delivered core system capabilities (User and Vehicle management) with a service-layer architecture on MongoDB, modernized the build pipeline, and integrated remote telemetry ingestion. These improvements provide a scalable foundation for user data governance, vehicle lifecycle management, streamlined build/deploy, and reliable remote data processing for downstream analytics and operations.
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