Scott Mudge is a vice president and seasoned software engineer in the DC area with over a decade of hands-on experience building resilient network and cyber security tools for finance while also leading development of medical devices, robotics, and 3D printing systems. He blends deep expertise in low-level languages (C/C++/C#), GPU and HPC (CUDA/OpenCL), visualization (OpenGL/Vulkan, GLSL/HLSL), and embedded/driver development with applied research in computer vision, 3D reconstruction, and medical imaging. At Morgan Stanley he drives threat hunting and firm resilience, and his prior roles include leading autonomous surgical platform software and stereoscopic vision systems for dental and radiographic devices. An active contributor to open-source tooling, he’s improved cross-platform text UI handling in the asciimatics project by adding Unicode-aware rendering and platform-specific fixes—evidence of his attention to both user-facing polish and low-level optimization. Colleagues rely on him to find answers to thorny interdisciplinary problems, from static/dynamic binary analysis to kinematic control and clinical-grade imaging pipelines.
A cross platform package to do curses-like operations, plus higher level APIs and widgets to create text UIs and ASCII art animations
Role in this project:
Full-stack Developer
Contributions:5 commits, 1 PR, 4 comments in 1 day
Contributions summary:Scott primarily focused on improving the asciimatics library's text UI capabilities. Key contributions included adding unicode awareness to various widgets and core components (frames, canvas, and widgets) to optimize CPU usage, particularly for handling double-width characters. Additionally, the user fixed a bug related to the PopUpDialog, and adjusted key code mappings for different operating systems. These changes demonstrate a focus on enhancing the library's cross-platform compatibility and text rendering accuracy.
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