
Richard Cheng developed core features for the Erio-Harrison/SAVMS repository, focusing on scalable backend systems and real-time data workflows. He architected user and vehicle management using Java Spring Boot and MongoDB, implementing service-layer patterns for maintainability and robust CRUD operations. Richard modernized build systems with CMake and JNI integration, streamlined remote telemetry ingestion via HTTP and libcurl, and enhanced authentication with role-based access control. He expanded real-time vehicle tracking, improved UI/UX with React, and introduced AI-assisted chat features. His work demonstrated depth in API development, backend integration, and frontend state management, resulting in a reliable, extensible platform foundation.
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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