Walter Schwenger
Senior Engineer at Biogen
Holliston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolWalter Schwenger is a Senior Engineer with a decade of experience blending research-driven problem solving and production software delivery, currently driving technical work at Biogen from Holliston, MA. He holds a Ph.D. from Brandeis and transitioned from academic research and mentoring into industry roles at Sanofi and Biogen, giving him deep domain rigor alongside practical engineering skills. Walter is an active open-source contributor—having enhanced the popular PySceneDetect project with UI improvements, HTML export features, and an adaptive content detector—demonstrating his ability to improve both user-facing tools and core algorithms. He excels at full-stack development and CLI tooling, with a knack for refactoring complex codebases to add maintainable functionality. Colleagues value his blend of scientific rigor, hands-on coding, and experience mentoring early-career researchers. He combines domain expertise in life sciences engineering with a proven track record of shipping useful open-source features.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Bachelor of Science (BS) at Bucknell UniversityDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Brandeis University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
video-processing10
html10
opencv10
python10
image-processing10
cli10
ffmpeg9
image-resizer9
image-resizing9
Programming languages (5)
Github contributions (5)
Breakthrough/PySceneDetect
May 2019 - Nov 2022
:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:17 reviews, 25 commits, 16 PRs in 3 years 6 months
Contributions summary:Walter primarily focused on enhancing the project's functionality by adding new features and improving the user interface. They implemented features for exporting scene lists to HTML, including support for images and image resizing options. The user also improved the command-line interface (CLI) by introducing new commands and options for image saving and video splitting. Furthermore, the user worked on refactoring the code to use an adaptive content detector for improved scene detection.
scene-recognitionpythoncameraanalysismovie
wjs018/rikka
Oct 2023 - Mar 2025
Anime episode discussion bot for a lemmy community
Contributions:23 releases, 19 PRs, 101 pushes in 1 year 5 months
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