
Contributed to the NASA-SUITS-Teams/JARVIS-2025 repository by building and modernizing a modular mission operations UI and integrating real-time rover telemetry, alerts, and map data. Leveraged React, Next.js, and TypeScript to refactor the frontend into reusable components, streamline state management, and improve operator workflows. Unified backend API integration for telemetry, camera feeds, and rover controls, migrating alert logic to the frontend for faster feedback. Enhanced system reliability through code cleanup, bug fixes, and robust UDP communication testing. The work established a scalable architecture for autonomous rover operations, supporting rapid feature expansion and maintainable code across both backend and frontend systems.
May 2025 focused on unifying backend integration, expanding rover data capabilities, and stabilizing the UI to accelerate telemetry-driven workflows. Key accomplishments include consolidating backend API integration for PR display, TPQ/alerts/maps, and migrating alert calculations to the frontend; revamping Camera Feeds UI with selectable, draggable layouts and map imagery; enabling TSS rover data handling with positioning and EVA data in system state plus basic LLM hooks; adding actual mission elapsed time support and speech-to-text for LLM capabilities; and consolidating telemetry alerts with EVA telemetry ranges in the alert checker. These efforts deliver clearer operator visibility, faster feature delivery, and a scalable foundation for autonomous rover operations.
May 2025 focused on unifying backend integration, expanding rover data capabilities, and stabilizing the UI to accelerate telemetry-driven workflows. Key accomplishments include consolidating backend API integration for PR display, TPQ/alerts/maps, and migrating alert calculations to the frontend; revamping Camera Feeds UI with selectable, draggable layouts and map imagery; enabling TSS rover data handling with positioning and EVA data in system state plus basic LLM hooks; adding actual mission elapsed time support and speech-to-text for LLM capabilities; and consolidating telemetry alerts with EVA telemetry ranges in the alert checker. These efforts deliver clearer operator visibility, faster feature delivery, and a scalable foundation for autonomous rover operations.
April 2025 monthly summary for NASA-SUITS-Teams/JARVIS-2025 focused on modernizing the URPR Display frontend, cleaning repo hygiene, and delivering a modular UI aligned with the mission briefing. The work reduced UI debt, improved maintainability, and laid groundwork for rapid feature expansion in the next sprint.
April 2025 monthly summary for NASA-SUITS-Teams/JARVIS-2025 focused on modernizing the URPR Display frontend, cleaning repo hygiene, and delivering a modular UI aligned with the mission briefing. The work reduced UI debt, improved maintainability, and laid groundwork for rapid feature expansion in the next sprint.
March 2025 monthly summary for NASA-SUITS-Teams/JARVIS-2025. Focused on codebase hygiene, test infrastructure improvements, and removal of legacy components to reduce maintenance burden. Key outcomes include a cleaner project structure, enhanced UDP test harness for improved observability, and the removal of obsolete controls, delivering faster onboarding and more reliable testing.
March 2025 monthly summary for NASA-SUITS-Teams/JARVIS-2025. Focused on codebase hygiene, test infrastructure improvements, and removal of legacy components to reduce maintenance burden. Key outcomes include a cleaner project structure, enhanced UDP test harness for improved observability, and the removal of obsolete controls, delivering faster onboarding and more reliable testing.
February 2025 monthly summary for NASA-SUITS-Teams/JARVIS-2025: Delivered a new demo script to validate UDP command sending to the TSS, establishing an end-to-end test harness and enabling earlier detection of integration issues.
February 2025 monthly summary for NASA-SUITS-Teams/JARVIS-2025: Delivered a new demo script to validate UDP command sending to the TSS, establishing an end-to-end test harness and enabling earlier detection of integration issues.

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