Antti Rasmus
Machine Learning Engineer at Apple
Steinhausen, Zug, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolAntti Rasmus is a Machine Learning Engineer with 11 years of experience building production-grade ML systems and leading research-driven teams, currently at Apple in Steinhausen, Switzerland. He previously served as CTO of Curious AI and held multiple engineering and management roles at NVIDIA, where he helped bridge deep learning research and scalable software. His background includes a PhD from Aalto University and hands-on contributions to open-source ML tooling — notably refinements to the Theano-based Blocks framework that improved tutorial clarity, modular optimizer design, and dataset robustness. Known for blending rigorous research instincts with pragmatic engineering, he often focuses on making complex models reproducible and easier to deploy in real-world settings.
11 years of coding experience
13 years of employment as a software developer
Master's, Master's at Tampere University of Technology 1965-2018Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Aalto University
Github Skills (7)
neural-network10
algorithms10
machine-learning10
python10
theano10
web-framework8
documentation7
Programming languages (1)
Github contributions (5)
mila-iqia/blocks
Feb 2015 - Mar 2015
A Theano framework for building and training neural networks
Role in this project:
ML Engineer
ML EngineerContributions:5 commits in 19 days
Contributions summary:Antti primarily contributed to the "blocks" Theano framework, which is designed for building and training neural networks. Their work involved fixing installation instructions and updating the tutorial to reflect changes in the Fuel interface. Additionally, the user streamlined the parameter passing process to improve modularity and transparency within the optimization algorithms and addressed a bug within the MNIST dataset.
pytorchdeep-learningtheanoneural-networksmachine-learning
CuriousAI/ladder
Jul 2015 - Dec 2015
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
Contributions:4 commits, 2 pushes in 5 months
pytorchsupervisedunsupervised-learningdeep-learningdeep-learning-algorithm
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