Sung Kim
Co-Founder, CEO at Upstage
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSung Kim is a serial AI entrepreneur and former academic with 11 years of experience building teams and products that put advanced machine learning into real-world use. As Co-Founder and CEO of Upstage in San Francisco he leads efforts to make "AI Packs for Everyone," after scaling Clova AI at NAVER/LINE from a team of 3 to 150 and shipping products used by hundreds of millions. He combines deep research roots—PhD in Computer Science and postdoctoral work at MIT/CSAIL—with hands-on ML engineering, contributing tutorials and implementations for TensorFlow and PyTorch that help teach others (notably the widely used DeepLearningZeroToAll series). His background in reliable systems is reflected in test-driven contributions to RNN projects and in improving documentation to lower the barrier for contributors. Known for bridging academia and product teams, he often translates state-of-the-art models into production-ready code and educational resources.
11 years of coding experience
16 years of employment as a software developer
University of California Santa Cruz
Github Skills (32)
unit-testing10
markdown10
pytorch10
word2vec10
python10
testing10
user-manual10
machine-learning10
rnn-model10
recurrent-neural-networks10
n10
linear-regression10
mask-rcnn10
keras10
deep-learning10
Programming languages (14)
Github contributions (5)
nlintz/TensorFlow-Tutorials
Apr 2016 - Oct 2016
Simple tutorials using Google's TensorFlow Framework
Role in this project:
ML Engineer
ML EngineerContributions:45 commits, 46 PRs, 25 pushes in 6 months
Contributions summary:Sung primarily contributed to the implementation of machine learning models within the repository. They added and refined a Long Short-Term Memory (LSTM) example and a word2vec implementation. The LSTM example utilized TensorFlow for a recurrent neural network, while the word2vec implementation demonstrates understanding of embeddings and natural language processing techniques. Additionally, the user integrated the t-SNE algorithm for visualization.
tensorflow-frameworktensorflow
hunkim/PyTorchZeroToAll
Oct 2017 - Nov 2020
Simple PyTorch Tutorials Zero to ALL!
Role in this project:ML Engineer
ML EngineerContributions:89 commits, 12 PRs, 80 pushes in 3 years 1 month
Contributions summary:Sung contributed to the project by implementing and demonstrating various PyTorch tutorials, ranging from basic linear regression and auto-gradient examples to logistic regression and CNN models for MNIST. The contributions included the initial setup of code and slides, followed by changes to filenames. Furthermore, the user finished up to Lec 9 and added inception and basic RNN examples. The user is working on creating tutorials for various machine learning and deep learning techniques.
pytorchpythonzerodeep-learningpytorch-tutorials
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