Adam Schuster is a software engineer and computer vision specialist based in Portland with 11 years of experience building practical ML and visualization solutions for robotics and automotive systems. He combines hands-on neural network training with classical image-processing expertise, dataset generation, and tools development—most recently creating visualization tooling for Torc Robotics’ autonomous driving stack. A self-taught tinkerer, Adam has formal training in applied physics, computer animation, and is completing a master’s in computer engineering, which informs his optics experiments (he even taught himself holography) and storytelling-driven interfaces. His background at Apple in training and instructional design gives him an unusual strength in translating technical complexity into usable workflows and teaching others. He also contributes to open-source projects, for example adding robust ZIP import and file-handling features to an iOS audiobook player, showing attention to usability and resilient engineering.
11 years of coding experience
4 years of employment as a software developer
BS, Applied Physics, BS, Applied Physics at Xavier University
AS, Computer Animation, AS, Computer Animation at Full Sail University
Master's degree (in process), Computer Engineering, Master's degree (in process), Computer Engineering at Florida Polytechnic University
Contributions:7 commits, 1 PR, 2 comments in 4 days
Contributions summary:Adam primarily focused on implementing file import functionality for audiobooks within the BookPlayer application. They implemented ZIP archive handling, including extraction to temporary directories and recursive directory traversal to find audio files. The user also refactored the code for cleaner organization and improved error handling related to file processing. This work enables the application to import and manage audiobooks from ZIP files.
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Adam Schuster - Software Engineer at Torc Robotics