MarkĀ Borgerding
Co-Owner,Principal Engineer at 3dB Labs
Ohio, United States
Summary
š¤©
Rockstarš
Top SchoolMark Borgerding is a Principal Engineer and co-owner of 3dB Labs with 22 years of experience specializing in DSP software, algorithm development, and performance acceleration. Based in Ohio, he combines hands-on engineering with business leadership, running a small firm that turns signal-processing research into practical, optimized implementations. He holds an MS in Electrical Engineering from Wright State and has pursued advanced ECE study at Ohio State, reflecting deep academic grounding alongside long-term industry practice. An active contributor to open-source tooling, he strengthened testing and Python 3 compatibility for the compact FFT library kissfft, highlighting a focus on robustness and reproducible builds. Known for spotting subtle issues (e.g., fall-through bugs and SIMD misalignment), he brings meticulous QA and automation skills to performance-critical codebases. Colleagues rely on him for pragmatic solutions that balance algorithmic rigor with deployable engineering.
23 years of coding experience
Archbishop Alter High SchoolMS, EE, MS, EE at Wright State UniversityPhD student, Electrical and Computer Engineering, PhD student, Electrical and Computer Engineering at The Ohio State University
Stackoverflow
8,293reputation
902kreached
90answers
25questions
signal-processing
top-5%
simd
top-5%
radix
top-5%
fft
top-5%
Github Skills (15)
c1710
fftw10
fft10
c1110
testing10
radix9
signal-processing9
python9
simd9
numpy8
convolution6
avx6
scipy6
tensorflow6
x866
Programming languages (5)
Github contributions (5)
mborgerding/kissfft
Oct 2018 - Feb 2021
a Fast Fourier Transform (FFT) library that tries to Keep it Simple, Stupid
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:2 releases, 2 reviews, 32 commits in 2 years 4 months
Contributions summary:Mark primarily focused on improving the testing infrastructure of the `kissfft` library. They refactored existing tests, fixed python3 incompatibilities, and wrote new test cases to address identified issues. The contributions included creating a new test for a specific bug (`test_simd`) and merging changes related to the `simd_misaligned` branch which likely involved more tests. Furthermore, they fixed fall-through issues, indicating a focus on robust test execution.
fftfourier-transform
mborgerding/onsager_deep_learning
Dec 2016 - Nov 2017
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
Contributions:1 release, 15 commits, 7 pushes in 11 months
Find and Hire Top DevelopersWeāve 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.