Aladdin Persson
Data Scientist (Contractor)
Stockholm, Stockholm County, Sweden
Summary
🤩
Rockstar🎓
Top SchoolAladdin Persson is a data scientist with eight years of hands-on experience applying machine learning and deep learning to real-world problems, currently contracting at Walmart from Stockholm. He has moved between startup and large-scale environments—recently at a stealth AI startup and multiple roles within Walmart Global Tech—bringing both rapid prototyping and production deployment experience. His open-source Machine-Learning-Collection on GitHub showcases practical implementations of EfficientNet, YOLOv3, GANs and VAEs, reflecting a strong focus on computer vision and generative models. Academically grounded with studies at Stanford, Chalmers and University of Gothenburg, he pairs rigorous theory in AI and mathematics with instructional experience as a teaching assistant. Known for turning complex models into usable solutions, he combines curiosity-driven experimentation with an emphasis on practical, production-ready ML.
8 years of coding experience
2 years of employment as a software developer
Kandidatexamen, Matematik och datorvetenskap, Kandidatexamen, Matematik och datorvetenskap at University of GothenburgData Science and AI, Data Science and AI at Chalmers University of TechnologyArtifical Intelligence, Artifical Intelligence at Stanford University
Swedish, English, Spanish
Github Skills (8)
computer-vision10
pytorch10
machine-learning10
cgan10
cyclegan10
efficientnet10
dcgan10
object-detection9
Programming languages (5)
Github contributions (5)
aladdinpersson/Machine-Learning-Collection
Jan 2021 - Dec 2022
A resource for learning about Machine learning & Deep Learning
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 88 commits, 14 PRs in 1 year 11 months
Contributions summary:Aladdin primarily contributed to implementing various machine learning models within the repository, as evidenced by the addition of code for EfficientNet, YOLOv3, CycleGAN, ProGAN, and a VAE. Their contributions include defining model architectures, training functions, and utility scripts for tasks like image generation, object detection, and image transformation. The user also worked on a solution for the Kaggle facial keypoint detection competition and the dog vs cat competition. Furthermore, the user demonstrated knowledge across PyTorch-based GANs, highlighting a focus on deep learning and computer vision.
deep-learningmachine-learningpytorchpytorch-implementationpytorch-gan
adarc8/Machine-Learning-Collection
Mar 2020 - Nov 2020
PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms
Contributions:297 commits in 7 months
machine-learning-algorithmspytorchtensorflow
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