Vilhjalmur Thorsteinsson
Chairman at Miðeind
Reykjavik, Capital Region, Iceland
Summary
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SeniorVilhjalmur Thorsteinsson is a veteran software entrepreneur and board leader with four decades of experience building and scaling companies across software, telecom, gaming and AI/NLP. He co-founded Iceland Software in 1983, architected major compiler work in Ada, led Common Technologies at Baan/CODA, and later chaired CCP Games during its global expansion. As founder and CEO/chair of Miðeind he has combined rule-based and neural approaches to Icelandic NLP, partnering with OpenAI for GPT-4’s initial Icelandic launch and publishing research as recently as ACL 2023. He remains a hands-on developer—authoring open-source tools in Python, C++ and Go and contributing Python 3 compatibility fixes to prominent ML repos like Tensor2Tensor—while investing in and chairing datacenter, cloud and fintech ventures that achieved strategic exits. Unusually for a technologist, he also served as an elected representative on Iceland’s Constitutional Council and has chaired national energy-policy and infrastructure committees, blending technical depth with public-policy impact.
11 years of coding experience
16 years of employment as a software developer
Stackoverflow
372reputation
78kreached
6answers
0questions
Github Skills (10)
tensorflow10
python10
unicode10
machine-learning9
data-engineering8
declaration6
go6
mmap6
exploit6
key-value6
Programming languages (11)
Github contributions (5)
tensorflow/tensor2tensor
Jun 2017 - Aug 2017
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:74 commits, 9 PRs, 51 comments in 1 month
Contributions summary:Vilhjalmur primarily contributed to Python 3 compatibility fixes within the TensorFlow/Tensor2Tensor repository. They modified various Python files, including text\_encoder.py, tokenizer.py, and data\_generators/image.py, to address compatibility issues. The changes involved updating code to align with Python 3 standards and incorporating better Unicode support, showing a focus on code maintenance and ensuring project stability.
pytorchautoencoderdeep-learningmachine-translationreinforcement-learning
vthorsteinsson/Skrafl
Jul 2014 - Sep 2022
Skraflhjálp - DAWG-based Scrabble Helper
Contributions:3 releases, 173 commits, 3 PRs in 8 years 3 months
dawgscrabble
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