Mikołaj Błaż is a Senior Software Engineer specializing in AI with nine years of experience building production-grade ML systems from research prototypes to deployable pipelines. Based in Warsaw, he has been at NVIDIA since 2021, contributing performance-focused improvements like native AMP training and refined inference/training scripts for speech models (Jasper, QuartzNet) in the widely used NVIDIA DeepLearningExamples repository. Prior roles span ML engineering at Molecule.one and backend/Python development at 10Clouds, giving him strong full-stack and ML engineering chops. He holds honored BSc and MSc degrees in Computer Science from the University of Warsaw and combines academic rigor with hands-on optimization work that materially speeds up large-scale model training.
9 years of coding experience
4 years of employment as a software developer
MSc, Computer Science, honored, MSc, Computer Science, honored at University of Warsaw
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Role in this project:
ML Engineer
Contributions:7 commits in 1 year
Contributions summary:Mikołaj primarily focused on updating and refining the training and inference scripts for speech recognition models, specifically the Jasper and QuartzNet architectures. They made adjustments to metrics, command-line parameters, and configuration overrides to improve performance. Additionally, the user implemented native AMP (Automatic Mixed Precision) training to accelerate model training. Their work is essential to the development and deployment of these advanced deep-learning models within the repository.
Contributions:27 pushes, 41 branches in 2 years 1 month
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Mikołaj Błaż - Senior Software Engineer - AI at NVIDIA