Ilias Papastratis
Data Scientist
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolIlias Papastratis is a data scientist based in London with 8 years of experience building and deploying computer vision and deep learning systems across research and industry. At Satalia he leads the design and MLOps deployment of generative and multi-agent AI solutions for marketing, tailoring text-to-image and fine-tuned models for clients such as L'Oréal, Fage, and Ford. His background includes multi-modal vision research at CERTH’s Visual Computing Lab, where he published work on sign language recognition, human action recognition and cross-modal learning and contributed code for medical image segmentation in PyTorch. Comfortable in Python, C++ and Java, he combines academic rigor (MSc in Digital Media – Computational Intelligence) with hands-on model engineering using PyTorch, TensorFlow and MLOps tooling. Notably, his open-source contributions extend frameworks like MedicalZooPytorch, reflecting an interest in bringing state-of-the-art research into practical, domain-specific products.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Digital Media – Computational Intelligence, 8.82, Master of Science - MS, Digital Media – Computational Intelligence, 8.82 at Aristotle University of Thessaloniki (AUTH)Master's degree, Electrical and Electronics Engineering, 7.21/10, Master's degree, Electrical and Electronics Engineering, 7.21/10 at University of Patras18/20, 18/20 at 2nd High School of Sparti
English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
pytorch10
image-segmentation10
deep-learning10
segmentation10
medical-image-segmentation10
medical-image-processing10
medical-imaging9
relu8
resnet8
Programming languages (3)
Github contributions (5)
black0017/MedicalZooPytorch
Mar 2020 - Feb 2022
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Role in this project:
ML Engineer
ML EngineerContributions:36 commits, 5 PRs, 31 pushes in 1 year 10 months
Contributions summary:Ilias primarily contributed to the `medicalzoopytorch` repository, which focuses on a PyTorch-based deep learning framework for medical image segmentation. Their commits updated utility functions, added new files related to the HyperDenseNet architecture, modified the initialization file, and integrated new datasets. The changes suggest a focus on expanding the framework's capabilities with new models and datasets specifically designed for medical image analysis.
medical-imageimage-segmentationunet-image-segmentationmedical-image-segmentationframework-learning
iliasprc/SSL-vit-cnn
Apr 2021 - Feb 2022
Contributions:42 commits, 32 pushes in 9 months
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