Sean Robertson
Software Engineer & Architect at Nuve Platform
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolSean Robertson is a Seattle-based software engineer and architect with 13 years of experience turning web and cloud ideas into production systems. He co-founded and scaled a full-service agency, Prontotype, where he owned everything from customer acquisition and UI design to system architecture and developer tools, and now leads architecture and platform engineering at Nuve Platform building one-click SAP deployments and multi-cloud monitoring/automation. Equally comfortable full-stack and infra-side, he has hands-on expertise in web and mobile stacks as well as practical machine learning experiments (character-level RNNs using PyTorch) reflected in his OSS work. Sean combines entrepreneurial product instincts with disciplined engineering practice, favoring pragmatic, automatable solutions that reduce operational toil. He trained in computer science at MIT and brings a knack for quickly prototyping user-facing experiences that scale into robust platforms.
13 years of coding experience
11 years of employment as a software developer
Computer Science, Computer Science at Massachusetts Institute of Technology
Stackoverflow
1,563reputation
62kreached
15answers
2questions
Github Skills (17)
pytorch10
python10
rnn-model10
n10
seq2seq10
natural-language-processing10
nlp10
vim6
amazon-ec26
popstate6
history6
aws-codedeploy6
amazon-web-services6
git6
ios6
Programming languages (16)
Github contributions (5)
spro/practical-pytorch
Jan 2017 - Jul 2018
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Role in this project:
Full-stack Developer (likely focused on PyTorch and NLP)
Full-stack Developer (likely focused on PyTorch and NLP)Contributions:83 commits, 7 PRs, 56 pushes in 1 year 6 months
Contributions summary:Sean appears to have worked on a character-level RNN project focused on natural language processing tasks. The primary contribution seems to be the implementation and refinement of various character-level RNN models. These changes involve creating and modifying model architectures and training scripts, and demonstrating a strong understanding of PyTorch, including techniques like padding, one-hot encoding, and dropout.
deep-learningpytorchpytorch-tutorialsseq2seqnatural-language-generation
spro/nalgene
Feb 2017 - Mar 2018
Natural language generation language
Contributions:23 commits, 8 pushes, 1 branch in 1 year 1 month
nlpnatural-language-generationnatural-languagelanguage-generationnatural
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