To Kim
Graduate Research Assistant
United States
Summary
👤
Senior🎓
Top SchoolTo Kim is a PhD student and Graduate Research Assistant at Carnegie Mellon University's Language Technologies Institute with eight years of experience building and teaching applied machine learning systems. He holds an M.Eng. in Computer Science from UCL and has a strong track record of research and applied projects—from publishing at SIGIR and AlexaPrize venues to developing production-facing chatbots for UK healthcare organizations. His background blends academic rigor (research roles and TA duties in ML and geospatial programming) with industry exposure as an ML engineer intern and data analyst using Python, Hadoop, GCP, and NLP APIs. He also led student-facing initiatives at UCL—creating widely-adopted ML tutorial series and organizing in-class Kaggle competitions—demonstrating an ability to communicate complex ideas and grow developer communities. Notably, he was selected for competitive programs including a Google Developers ML bootcamp and a KAIST/KAIST-sponsored AI bootcamp, reflecting both technical talent and initiative.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Language and Information Technologies, Doctor of Philosophy - PhD, Language and Information Technologies at Carnegie Mellon UniversityUniversity College London
English, Korean
Github Skills (32)
translation8
neural7
vip7
alan7
python7
computer-vision7
deep-learning6
machine-learning6
artificial-intelligence6
tensorflow5
data-science5
rdf4
gis3
pipeline3
react3
Programming languages (3)
Github contributions (5)
UCLAIS/Machine-Learning-Tutorials
Oct 2019 - Oct 2021
Contributions:67 commits, 34 pushes in 2 years
kimdanny/COMP0189-practical
Jan 2023 - Mar 2023
Contributions:51 commits, 45 pushes, 1 branch in 2 months
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