Arda Mavi

Student

Türkiye, Turkey
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Summary

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Senior
🎓
Top School
Arda Mavi is a research scientist and lifelong learner with 10 years of experience at the intersection of machine learning, computer vision, and quantum-enabled chemistry. He has blended academic research and industry practice—contributing to computational quantum chemistry and graph neural networks at Molecular Quantum Solutions and to quantum networks and aerospace projects at the University of Arizona. As a founder of an AI consulting firm and a researcher for creative and medical-visualization studios, he pairs practical product thinking with experimental R&D across medical imaging, 3D point clouds, and drug-discovery applications. His background includes hands-on roles at NVIDIA’s Deep Learning Institute and leadership as CTO for intelligent medical devices, showing comfort moving projects from prototype to applied deployment. Based in the Netherlands with a strong academic record (BS Computer Science, 3.85 GPA), he uniquely combines artistic media-tech experience with rigorous computational methods. Colleagues describe him as an inquisitive problem-solver who gravitates toward projects that fuse ML, vision, and quantum computations.
code11 years of coding experience
job4 years of employment as a software developer
bookThe University of Arizona
bookHigh School Diploma, English - German, 5.0/5.0, High School Diploma, English - German, 5.0/5.0 at Ayrancı Anadolu High School
languagesTurkish, İngilizce
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Github Skills (53)

unsupervised-machine-learning10
algorithms10
pytorch10
convolutional-neural-networks10
artificial-intelligence10
python10
data-science10
classification10
coremltools10
machine-learning10
classifier10
autoencoder10
ml10
keras10
deep-learning10

Programming languages (5)

C++JavaScriptSwiftJupyter NotebookPython

Github contributions (5)

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Using Autoencoders for classification as unsupervised machine learning algorithms with Deep Learning.
Contributions:15 commits, 1 PR, 12 pushes in 8 months
autoencoderclassificationdeep-learningunsupervised-machine-learningmachine-learning
Vocalization sign language iOS App with deep learning using CoreML.
Contributions:23 commits, 18 pushes, 5 comments in 4 years
coremldeep-learningioskerastensorflow
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