Minjoon Seo
Co-Founder & CEO at Korea Advanced Institute of Science and Technology
Seoul, United States
Summary
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Rockstar🎓
Top SchoolMinjoon Seo is an AI scientist and entrepreneur with 11 years of experience building and deploying language models and ML systems across industry and academia. He co-founded and leads Config while serving as Associate Professor and director of the Language & Knowledge Lab at KAIST, blending product-focused engineering with deep research. His work spans from low-level TensorFlow implementations for QA models (contributions to the widely-cited BiDAF codebase) to leading R&D teams at Twelve Labs and NAVER that delivered production services handling millions of queries. A PhD-trained researcher who interned at AI2 and Google, he has a track record of top-tier publications and competition wins (ICCV VALUE Retrieval) achieved by scaling experiments under resource constraints. He also advises legal-tech startup LBox and has hands-on experience designing MLOps pipelines on AWS SageMaker, showing a rare mix of academic rigor, systems-level engineering, and startup execution.
11 years of coding experience
8 years of employment as a software developer
Bachelor's Degree Electrical Engineering & Computer Science, Bachelor's Degree Electrical Engineering & Computer Science at University of California, BerkeleyDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of WashingtonHigh School, High School at St. Andrew's College
Korean, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
neural-network10
lstm10
recurrent-neural-networks10
tensorflow10
python10
modeling9
modello9
machine-learning9
modeler9
back-end-development8
Programming languages (2)
Github contributions (5)
allenai/bi-att-flow
Jun 2016 - Jan 2018
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Role in this project:
Backend Developer
Backend DeveloperContributions:6 releases, 309 commits, 10 PRs in 1 year 7 months
Contributions summary:Minjoon's commits primarily involve the implementation of low-level RNN helpers and model architectures within a TensorFlow environment, as evidenced by code changes in `rnn.py`, and core model logic in `main.py`, `base_model.py`, and `model.py`. The commits focus on tasks such as defining and building recurrent neural networks, designing loss functions and optimizers. The user demonstrated familiarity with TensorFlow's low-level APIs to create a Question Answering network.
pytorchcontext-awaremechanismqueryrepresentation
seominjoon/kaist-ai605
Feb 2021 - Jun 2022
Contributions:205 commits, 172 pushes, 1 comment in 1 year 3 months
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