Shahriar Rezghi
C Audio Engineer at Yousician
Finland
Summary
👤
Senior🎓
Top SchoolShahriar Rezghi is a C++ and audio-focused machine learning engineer based in Finland with nine years of experience optimizing ML systems for CPUs and GPUs using C++, CUDA, and Python. Holding an M.Sc. in Artificial Intelligence from the University of Tehran, he blends deep academic grounding with production-grade engineering—recently contributing C++ model implementations and refactors to the high-profile pytorch/vision repository. His career spans research and product roles (NBIC, BIMLOGIQ) and now C++ audio engineering at Yousician, where he applies low-level performance tuning to real-time audio workloads. Known for squeezing extra performance out of models and hardware, he has a knack for turning complex ML research into efficient, deployable systems—everything is sweeter with C++.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science Computer Software Engineering, Bachelor of Science Computer Software Engineering at Azarbaijan University of Tarbiat MoallemMaster of Science Artificial Intelligence, Master of Science Artificial Intelligence at University of Tehran
Github Skills (12)
model-building10
computer-vision10
machine-learning10
c-language10
cprogramming-language10
modeling10
model-driven10
model-driven-development10
mask-rcnn9
faster-rcnn9
docker4
dockers4
Programming languages (5)
Github contributions (5)
pytorch/vision
Jun 2019 - Aug 2019
Datasets, Transforms and Models specific to Computer Vision
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:8 commits, 12 PRs, 101 comments in 2 months
Contributions summary:Shahriar significantly contributed to the C++ model implementations within the `pytorch/vision` repository, specifically focusing on computer vision models. Their work included developing new models like DenseNet and MNASNet, completing Inception, and refactoring existing model code. The user's contributions show a strong understanding of PyTorch's C++ API and the architecture of computer vision models, as well as an understanding of software engineering principles. They also implemented new models and wrote tests, as well as modified existing ones.
pytorchvisiondeep-learningdatasetcomputer-vision
ShahriarSS/vision
Jul 2019 - Aug 2019
Datasets, Transforms and Models specific to Computer Vision
Contributions:12 commits, 72 pushes, 22 branches in 26 days
imagenetvisiondeep-learningdatasetcomputer-vision
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