Teddy Lee is a software and data engineer with a decade of experience building Android products and ML-focused developer tools, currently a LangChain Ambassador and creator of the 인기 Korean tech channel 테디노트. He co-founded analogue plus (CTO) and runs Braincrew, blending hands-on Android UX work at Samsung with entrepreneurial product development. Teddy specializes in LLM applications, RAG, and LangChain, authors Korean LangChain tutorials, and maintains practical ML teaching repositories that emphasize TensorFlow workflows and model monitoring. He combines content creation and community lecturing with production engineering, making complex ML/LLM topics accessible to Korean developers while continuing to ship real-world apps and prototypes.
10 years of coding experience
4 years of employment as a software developer
학사, Economics, 학사, Economics at University of Wisconsin-Madison
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Role in this project:
ML Engineer
Contributions:2 reviews, 483 commits, 42 PRs in 4 years 5 months
Contributions summary:Teddy's contributions primarily involved updating and refining existing machine learning models within the repository, specifically focusing on simple linear regression and multi-variable linear regression using TensorFlow. They implemented a multi-layer perceptron model for classification, utilizing dropout layers to mitigate overfitting. They also incorporated TensorBoard for monitoring the training process, enhancing the model's performance, and integrated a loss function for model optimization.
머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
Contributions:62 commits, 69 pushes, 1 branch in 1 year 7 months
tensorflowdockerkagglexgboostpytorch
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