Brian Hemmat
Senior Software Engineer at MathWorks
Natick, Massachusetts, United States
Summary
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Senior🎓
Top SchoolBrian Hemmat is a Senior Software Engineer at MathWorks who blends hands-on development with technical writing to advance Audio Toolbox features and workflows for speech and audio machine learning. Over five years at MathWorks he has built and optimized feature-extraction pipelines—MFCC, pitch, spectral descriptors, and harmonicity metrics—while owning unit tests and feature lifecycles. He translates application needs into code and examples across tasks like speaker verification, speech emotion recognition, acoustic scene recognition, and HMM/GMM/i-vector workflows, and routinely demonstrates models from CNNs and LSTMs to hybrid CNN-LSTM architectures. As a former technical writer he also authors deep, math-forward documentation and conceptual tutorials (including sensor fusion and DSP topics), making complex signal-processing ideas accessible to users. Based in Natick, MA, his background spans biomedical engineering research, real-time EEG algorithms, and practical systems engineering, giving him a rare mix of research, product, and communication skills.
4 years of coding experience
5 years of employment as a software developer
pre-engineering track, Engineering, pre-engineering track, Engineering at El Camino CollegeThe University of AberdeenBachelor of Arts (B.A.), English Language and Literature, General, Bachelor of Arts (B.A.), English Language and Literature, General at Haverford CollegeThe American University in CairoMaster of Engineering (MEng), Biomedical Engineering, Master of Engineering (MEng), Biomedical Engineering at Boston UniversityCornell UniversityGithub contributions (5)
matlab-deep-learning/wav2vec-2.0
Nov 2021 - Mar 2022
Contributions:1 release, 15 commits, 14 pushes in 4 months
matlab-deep-learning/Convert-librosa-Audio-Feature-Extraction-To-MATLAB
Nov 2023 - Sep 2024
Contributions:2 releases, 39 pushes, 2 tags in 10 months
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