Krzysztof Kudrynski
Senior Deep Learning Software Engineer at NVIDIA
Lodz Metropolitan Area Poland
Summary
🤩
Rockstar🎓
Top SchoolKrzysztof Kudrynski is a Senior Deep Learning Software Engineer with seven years of industry experience building large-scale AI, computer vision, autonomous vehicle, and robotics solutions, currently driving GPU-optimized deep learning systems at NVIDIA. He combines a strong research background (MSc and PhD in Telecommunications and Computer Science) with hands-on engineering, improving performance of GPU implementations and developing production-ready training and benchmarking pipelines. Previously at TomTom he applied laser and camera sensor fusion, mapping and ML to enable precise vehicle localization and automatic map generation for OEMs. An active contributor to NVIDIA’s DeepLearningExamples, he added model entrypoints and pretrained-weight tooling (including work to surface models via PyTorch Hub), making state-of-the-art models more accessible and reproducible. He brings uncommon breadth from biomedical signal processing research to autonomous driving stacks, pairing rigorous algorithmic thinking with pragmatic systems engineering. Based in Łódź, Poland, he excels at turning complex ML research into scalable, deployable software.
7 years of coding experience
10 years of employment as a software developer
Master of Science (MSc), Telecommunications and Computer Science, Master of Science (MSc), Telecommunications and Computer Science at Lodz University of Technology
English, French, Spanish, Italian, Polish
Github Skills (9)
pytorch10
machine-learning10
speech-synthesis10
ml-deployment9
recommendation-system9
continuous-deployment9
computer-vision8
object-detection8
model-optimization7
Programming languages (3)
Github contributions (5)
NVIDIA/DeepLearningExamples
May 2019 - Jan 2023
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
ML EngineerContributions:19 reviews, 309 commits, 186 PRs in 3 years 8 months
Contributions summary:Krzysztof contributed to the development of machine-learning related entrypoints, specifically for models like Tacotron2, WaveGlow, and NCF within the DeepLearningExamples repository. Their work included adding entry points for these models, along with the functionality to convert and cache pretrained weights, allowing for easier access and use of pre-trained models. They also exposed SSD models, processing utils, and other code components for model use. Further, they demonstrated familiarity with PyTorch Hub by moving the core models into the "torchhub" branch for easier use.
forecastingcaffe2translationspeech-recognitionstate-of-the-art
HerringForks/SMDDP-Examples
Dec 2019 - Jul 2021
Repository for Forked Deep Learning Examples Used in SageMaker Data Distributed Training
Contributions:11 commits in 1 year 7 months
pytorchsagemakerdeep-learningmachine-learningdistributed-training
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