
Diljot Manj worked on the UVicSatelliteDesign/COMP_SLIP-GS repository, building a robust image processing and real-time telemetry visualization stack for satellite data workflows. Over three months, Diljot implemented features such as JPEG conversion pipelines, a PyQt6-based UI with dynamic graphing, and backend integration for live data updates. The engineering approach emphasized asynchronous programming, error handling, and thorough testing using Python and Pandas, resulting in production-ready capabilities and improved maintainability. By refactoring core data paths and enhancing exception handling, Diljot ensured reliable operation during simulations and ground tests, delivering a stable foundation for future enhancements and smoother operator experiences.
Month: 2025-08 — Delivered significant user-visible UI improvements for real-time satellite telemetry and stabilized the JPEG binning workflow. Enhanced robustness through improved error handling and end-marker detection, reducing crash risk in the conversion pipeline. These changes enable more reliable live visualization and faster decision-making during simulations and tests.
Month: 2025-08 — Delivered significant user-visible UI improvements for real-time satellite telemetry and stabilized the JPEG binning workflow. Enhanced robustness through improved error handling and end-marker detection, reducing crash risk in the conversion pipeline. These changes enable more reliable live visualization and faster decision-making during simulations and tests.
July 2025 monthly summary for UVicSatelliteDesign/COMP_SLIP-GS: Delivered key feature enhancements and stability improvements to support reliable satellite data processing and real-time telemetry visualization. The work focused on refactoring and hardening critical data paths, improving robustness, and expanding test coverage to ensure data integrity and smoother operator workflows.
July 2025 monthly summary for UVicSatelliteDesign/COMP_SLIP-GS: Delivered key feature enhancements and stability improvements to support reliable satellite data processing and real-time telemetry visualization. The work focused on refactoring and hardening critical data paths, improving robustness, and expanding test coverage to ensure data integrity and smoother operator workflows.
March 2025 performance summary for UVicSatelliteDesign/COMP_SLIP-GS focused on delivering a reliable image processing and visualization stack, while improving test coverage, code quality, and maintainability. The month produced concrete, production-ready capabilities and a solid foundation for future enhancements.
March 2025 performance summary for UVicSatelliteDesign/COMP_SLIP-GS focused on delivering a reliable image processing and visualization stack, while improving test coverage, code quality, and maintainability. The month produced concrete, production-ready capabilities and a solid foundation for future enhancements.

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