Albert Wolant
Senior Software Development Engineer at NVIDIA
Warsaw, Masovian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolAlbert Wolant is a Senior Software Development Engineer at NVIDIA in Warsaw with seven years of experience building high-performance ML data pipelines and GPU-accelerated systems. He contributes to NVIDIA DALI, implementing SSD object-detection components such as a GPU box encoder, advanced data loaders for COCO, and multi-GPU training examples that streamline real-world deep learning workflows. With a background in CUDA research at Warsaw University of Technology and hands-on .NET and machine learning roles, he bridges low-level GPU optimization and practical ML engineering. Colleagues rely on him for turning algorithmic ideas into production-ready, performance-critical code that scales across GPUs.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Warsaw University of Technology
English
Github Skills (9)
computer-vision10
machine-learning10
gpu10
data-processing10
python9
coco9
tensorflow9
data-augmentation9
pytorch9
Programming languages (6)
Github contributions (5)
NVIDIA/DALI
Dec 2018 - Dec 2022
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Role in this project:
ML Engineer
ML EngineerContributions:1270 reviews, 137 commits, 363 PRs in 4 years 1 month
Contributions summary:Albert primarily contributed to the development of object detection pipelines, specifically for SSD (Single Shot MultiBox Detector) models. Their work included the addition of a GPU box encoder, integration of random crop operations, and implementing options for the COCO reader to enhance the data loading process. Furthermore, the user was responsible for creating examples for multi-GPU training, including those using TF dataset, demonstrating expertise in accelerating data pipelines for deep learning tasks.
pythontrainingpaddlegpu-accelerationbuilding-blocks
awolant/DALI
Nov 2018 - Sep 2024
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
Contributions:2 PRs, 1325 pushes, 201 branches in 5 years 11 months
pytorchdata-pre-processingpre-processingbuilding-blocksdeep-learning
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