Anders Huss
Software Engineer at Terra Labs
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolAnders Huss is a Stockholm-based software engineer with 10 years of experience building production-grade machine learning systems and leading technical teams, currently contributing at Terra Labs. A former Swedish Air Force helicopter pilot turned ML specialist, he combines operational discipline with deep expertise in deep learning, having worked as CTO, senior ML developer, and head of ML across multiple startups. He has hands-on experience deploying recurrent and convolutional neural networks to embedded and cloud environments and made notable open-source contributions to Keras, improving RNN masking, constants support, and model I/O across backends. Anders is passionate about democratizing education through AI and has repeatedly translated research-grade methods into product features and scalable pipelines. Less obvious: his background in military instruction and frontline product-building gives him a rare blend of pedagogy, systems thinking, and rugged execution under pressure.
10 years of coding experience
9 years of employment as a software developer
Basic Helicopter Training, Basic Helicopter Training at German Army Aviation SchoolMaster of Science (MSc) Engineering Physics/Applied Physics: Machine Learning, Master of Science (MSc) Engineering Physics/Applied Physics: Machine Learning at KTH Royal Institute of TechnologyNatural Sciences, Natural Sciences at International CollegeBachelor of War Studies Officers' Training Helicopter Training, Bachelor of War Studies Officers' Training Helicopter Training at Försvarshögskolan - Swedish Defence University
English, Swedish, French
Github Skills (10)
neural-network10
keras10
machine-learning10
recurrent-neural-networks10
deep-learning10
tensorflow10
python10
numpy10
data-science9
back-end-development9
Programming languages (3)
Github contributions (5)
keras-team/keras
Oct 2017 - Mar 2019
Deep Learning for humans
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 13 PRs, 129 comments in 1 year 5 months
Contributions summary:Anders focused on enhancing the Keras library, particularly concerning the Recurrent Neural Network (RNN) layer. They implemented and refined features related to passing constants to RNN cells, including adding support for functional composition. They also addressed masking issues in the `K.rnn` function across different backends (TensorFlow and Theano) and implemented a NumPy implementation for the `rnn` function. Furthermore, the user worked on the seamless integration of model saving/loading functionalities.
pythondata-sciencedeep-learningneural-networksmachine-learning
andhus/keras
Sep 2017 - Mar 2019
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Contributions:8 PRs, 109 pushes, 28 branches in 1 year 6 months
pythondeep-learningrecurrent-neural-networkstheanoneural-networks
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