
Worked on the postechDNN/postechDNN repository over a two-month period, focusing on refining the GUI camera control for the PDDNN demo and improving the reliability of data processing workflows. Applied C++ and computer vision techniques to refactor camera settings logic, enhancing the input file creation process and convex hull point selection for more consistent demo runs. Addressed a preprocessing bug in the DDNN_Demo by correcting distance calculations and sorting logic, which improved data handling accuracy and reduced edge-case failures. Emphasized maintainability and traceability through targeted, auditable commits, leveraging skills in algorithms, data structures, and GUI development throughout the project.
February 2025 monthly summary for postechDNN/postechDNN focused on robustness and reliability of the DDNN_Demo. Delivered targeted fixes to data preprocessing, distance calculations, and sorting logic to ensure correct data handling and higher demo accuracy. The work strengthens the demo’s credibility for stakeholders and reduces downstream debugging time.
February 2025 monthly summary for postechDNN/postechDNN focused on robustness and reliability of the DDNN_Demo. Delivered targeted fixes to data preprocessing, distance calculations, and sorting logic to ensure correct data handling and higher demo accuracy. The work strengthens the demo’s credibility for stakeholders and reduces downstream debugging time.
January 2025 – Delivered GUI Camera Control Refinement for the PDDNN Demo in postechDNN/postechDNN. Refactored camera settings logic to improve the input file creation workflow and convex hull point selection. No major bugs fixed this month; focus was on UX and reliability improvements, enabling more repeatable demos and faster iteration.
January 2025 – Delivered GUI Camera Control Refinement for the PDDNN Demo in postechDNN/postechDNN. Refactored camera settings logic to improve the input file creation workflow and convex hull point selection. No major bugs fixed this month; focus was on UX and reliability improvements, enabling more repeatable demos and faster iteration.

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