rainmakerย
Machine Learning Engineer at NAVER
Summary
๐คฉ
Rockstarrainmaker is a Machine Learning Engineer with 11 years of experience focused on deep learning, conversational models, and NLP/SLU. They contribute to influential open-source projects, notably modernizing the popular "Deep Learning Zero to All - TensorFlow" repo by converting code to eager execution and updating RNN examples. Comfortable across research-to-production gaps, they blend hands-on model implementation with practical engineering decisions that improve developer ergonomics. Known for pragmatically updating legacy codebases to contemporary frameworks, they accelerate adoption of modern TensorFlow features in educational and production contexts.
11 years of coding experience
Github Skills (6)
rnn-model10
tensorflow10
python10
n10
eager-execution10
deep-learning9
Programming languages (6)
Github contributions (5)
deeplearningzerotoall/TensorFlow
Oct 2018 - Apr 2019
Deep Learning Zero to All - Tensorflow
Role in this project:
ML Engineer
ML EngineerContributions:35 commits, 2 PRs, 25 pushes in 6 months
Contributions summary:Rainmaker's commits focused on setting up and converting the code to eager mode, indicating an effort to modernize the codebase for more dynamic and interactive TensorFlow usage. These changes involved modifying the RNN basic notebook, suggesting hands-on experience with fundamental deep learning concepts like Recurrent Neural Networks. The user implemented the new tf eager execution functionality.
mxnettensorlayerzerocaffe2deep-learning
rainmaker712/nlp_ryan
May 2017 - Jun 2019
Contributions:77 commits, 89 pushes, 1 branch in 2 years 1 month
Find and Hire Top DevelopersWeโve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.