Adrià Puigdomènech
Senior Staff Research Engineer at Google DeepMind
United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAdrià Puigdomènech is a Senior Staff Research Engineer at Google DeepMind with 12 years of experience turning AI research into production-ready systems, specializing in reinforcement learning and large language models. He blends deep academic training from TU München and Universitat Autònoma de Barcelona with hands-on engineering, having contributed to popular open-source ML tooling such as DeepMind's Sonnet where he fixed compatibility and RNN issues. His background spans industry internships at Microsoft and Intel and research on zero-shot image labeling, giving him a rare cross-section of NLP, vision, and systems work. Colleagues know him for shipping robust, backward-compatible improvements and for pragmatic problem-solving across the stack. Based in the UK, he thrives at the intersection of research rigor and scalable engineering, often surfacing small implementation fixes that prevent large downstream regressions.
12 years of coding experience
4 years of employment as a software developer
Computer engineering, Engineering, Computer engineering, Engineering at Universitat Autònoma de BarcelonaMaster of Science (MSc), Informatics, Master of Science (MSc), Informatics at Technische Universität München
English, Spanish, Catalan, French
Github Skills (8)
neural-network10
machine-learning10
deeplearning-ai10
deep-learning10
tensorflow10
artificial-neural-networks10
python10
testing8
Programming languages (5)
Github contributions (5)
google-deepmind/sonnet
Apr 2017 - Oct 2018
TensorFlow-based neural network library
Role in this project:
ML Engineer
ML EngineerContributions:12 commits, 6 PRs, 11 pushes in 1 year 5 months
Contributions summary:Adrià contributed to the TensorFlow-based neural network library by addressing several issues and making improvements. Their work included fixing tests for compatibility with TF 1.0.1, making modifications to the RNNCore class, and updating the sonnet version. Additionally, the user corrected a typo in the documentation and added backwards compatibility for tests related to name scopes.
deep-learningneural-networksmachine-learningneural-networktensorflow
kosklain/StackoverflowQuestions
Nov 2013 - Feb 2014
Contributions:52 commits in 3 months
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