Emil Wallner
CEO And Founder at Palette
Porto, Porto, Portugal
Summary
🤩
Rockstar🎓
Top SchoolEmil Wallner is a founder and machine learning engineer with 11 years of experience building production AI products that blend creativity and code. He founded Palette, a natural-language photo and video colorization app used by over 6 million users and adopted by major Hollywood studios. During a residency at Google Arts & Culture he led the "Klimt Color Enigma," an AI restoration of Gustav Klimt’s Faculty Paintings that earned coverage in Wired, WSJ and WaPo and now features a colorized piece on a 15‑meter public display. Emil also created the popular open-source Screenshot-to-code tool and contributes ML colorization models on GitHub, demonstrating a rare mix of research-grade algorithms, product execution, and cultural impact. Based in Porto, he combines a software engineering diploma with hands-on ML work to move visual restoration and creative tools from lab prototypes to mass usage.
10 years of coding experience
1 year of employment as a software developer
Diploma, Software engineering with a specialization in Machine Learning, Diploma, Software engineering with a specialization in Machine Learning at 42
Github Skills (5)
neural-network10
keras10
convolutional-neural-networks10
deep-learning10
tensorflow10
Programming languages (8)
Github contributions (5)
emilwallner/Coloring-greyscale-images
Aug 2017 - Aug 2022
Coloring black and white images with deep learning.
Role in this project:
ML Engineer
ML EngineerContributions:163 commits, 2 PRs, 164 pushes in 5 years
Contributions summary:Emil's commits focus on the implementation and modification of a deep learning model for colorizing greyscale images using Keras. Code changes involve importing necessary libraries, defining convolutional layers and upsampling layers, and training a model. The user is also working on the model's architecture, including layers and loss function.
deep-learningjupyter-notebookblack-and-whitecomputer-visiontensorflow
emilwallner/How-to-learn-Deep-Learning
Apr 2017 - Jun 2022
A top-down, practical guide to learn AI, Deep learning and Machine Learning.
Contributions:178 commits, 4 PRs, 171 pushes in 5 years 2 months
rnnpythondeep-learning-aimxnetdeep-learning
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