Robin Scheibler
Software Engineer
Greater Tokyo Area Japan
Summary
🤩
RockstarRobin Scheibler is a software engineer with 14 years' experience based in the Greater Tokyo Area, specializing in audio signal processing, microphone arrays, IoT, Python, and data. He contributes to notable open-source audio tooling—most prominently enhancing pyroomacoustics with algorithm implementations (Prony, Shanks), convolution utilities, room-structure improvements, tests, and usage examples—bridging research-grade algorithms and practical prototypes. Comfortable across back-end engineering and algorithm development, he turns complex acoustic concepts into production-ready code and reproducible examples. His work reflects a blend of theoretical signal processing knowledge and pragmatic software craftsmanship, geared toward real-world indoor audio applications. Colleagues describe him as a developer who makes advanced audio methods accessible and testable for wider adoption.
14 years of coding experience
English, French, Japanese, German, Swedish
Stackoverflow
96reputation
6kreached
5answers
1question
Github Skills (16)
algorithm10
algorithms10
python10
linear-algebra10
implement10
signal-processing10
testing9
numerical-analysis8
solver6
opencv6
scipy6
indexing6
credible-interval6
equation6
numpy6
Programming languages (17)
Github contributions (5)
LCAV/pyroomacoustics
Aug 2014 - Dec 2022
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Role in this project:
Back-end Developer & Algorithm Engineer
Back-end Developer & Algorithm EngineerContributions:7 releases, 36 reviews, 631 commits in 8 years 5 months
Contributions summary:Robin's contributions primarily focused on enhancing the utility and functionality of the project's core utilities module. They added methods for creating and implementing specific algorithms like convolution matrix, the Prony and Shanks methods for utility in the context of the acoustic signal processing. They also modified the room structure, adding a unit test, and providing a detailed example of how to utilize the implemented method.
signaladaptive-filteringfast-prototypingprototypingsignal-processing
onolab-tmu/code_2020ICASSP_iss
Oct 2019 - Apr 2020
Contributions:25 commits in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.