Leigh Smith
Software Architect And Project Lead at soundBrilliance, LLC
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLeigh Smith is a software architect and project lead with 25 years of experience specializing in music information retrieval, audio DSP, and machine learning-driven production systems. Based in New York, he has led R&D and product engineering across startups and established firms—designing real-time embedded DSP for Analog Devices SHARC processors, cloud MLOps pipelines, and event-driven audio analysis platforms. He combines deep academic expertise (PhD in computer science focused on music perception and wavelet analysis) with hands-on delivery: prototyping, patent authorship, developer recruitment, and CI/CD for mixed Python/C++/embedded codebases. His work spans applications from tactile bass systems and music therapy to automated mastering and sample recommendation engines, often bridging signal processing math with practical production constraints. An active contributor to instructional MIR materials on GitHub, he also brings uncommon cross-domain experience in cryptography, GIS/GPS systems and compiler design that informs robust system architectures. Comfortable switching between low-level embedded optimization and cloud-native ML infrastructure, he excels at turning complex audio research into production-grade products.
25 years of coding experience
29 years of employment as a software developer
Ph.D Computer Science Music Perception Wavelet Analysis, Ph.D Computer Science Music Perception Wavelet Analysis at The University of Western AustraliaPost Graduate Diploma Computer Science, Post Graduate Diploma Computer Science at Curtin University
French
Stackoverflow
341reputation
16kreached
0answers
3questions
Github Skills (19)
notebook10
python10
scikit10
machine-learning10
ipython10
music-information-retrieval10
scikit-learn10
jupyter-notebook10
cross-validation9
frequency-analysis8
spectral8
spectrum8
spec8
spectra8
feature-extraction8
Programming languages (9)
Github contributions (5)
iranroman/musicinformationretrieval.com
Jun 2014 - Jun 2014
Instructional notebooks on music information retrieval.
Role in this project:
ML Engineer
ML EngineerContributions:23 commits in 6 days
Contributions summary:Leigh contributed to instructional notebooks on music information retrieval. They modified existing notebooks to add comments on how to execute cells, replaced cross-validation KNN code with sklearn equivalents, and updated scaling methods using sklearn preprocessing. The user also factored out classification code for a specific lab and added source files as resources, indicating an active role in developing and organizing the instructional materials.
pythonmusic-informationjupyter-notebookmachine-learningnotebooks
leighsmith/midisport-macos
Oct 2000 - Jan 2023
M-Audio MIDISPORT USB 64-bit MIDI device driver for MacOS 10.14+
Contributions:5 releases, 194 commits, 7 PRs in 22 years 6 months
64-bitaudiokitmidimidi-deviceusb
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.