Hoo Shin
Senior Research Scientist at NVIDIA
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHoo Shin is a Senior Research Scientist based in Mountain View with 11 years of experience applying NLP, deep learning, and GPU-accelerated computing to healthcare and semantic search problems. At NVIDIA he has progressed from solutions architect to research lead, driving conversational AI for healthcare and production-grade semantic search systems. He contributes to high-profile open-source projects like NVIDIA/NeMo, adding practical features such as relative positional embeddings and improving ASR and relation-extraction notebooks for real-world reproducibility. His background spans academia and industry—from a PhD in AI in Medicine to postdoctoral work mining clinical imaging repositories—giving him a rare blend of domain knowledge and engineering rigor. Colleagues rely on him to bridge research and deployment, turning cutting-edge transformer advances into usable, GPU-optimized tools.
11 years of coding experience
4 years of employment as a software developer
Technology Entrepreneurship I, Technology Entrepreneurship I at NovoEd - Technology Entrepreneurshipppaml 2016Diplom Ingenieur, Electrical Engineering, Diplom Ingenieur, Electrical Engineering at Technische Universität MünchenAdvanced Studies in Technology Transfer, Advanced Studies in Technology Transfer at FAES Graduate School at NIHB.Sc., Mechanical Engineering, Computer Science, B.Sc., Mechanical Engineering, Computer Science at Sogang UniversityPhD, Artificial Intelligence in Medicine, PhD, Artificial Intelligence in Medicine at The Institute of Cancer Research, U. of London
English, German, Korean, Japanese
Github Skills (11)
transformers10
pytorch10
machine-learning10
nlp10
deep-learning10
python10
large-language-models9
generative-ai9
asr8
docker4
dockers4
Programming languages (4)
Github contributions (5)
NVIDIA/NeMo
Oct 2019 - Jun 2022
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Role in this project:
ML Engineer
ML EngineerContributions:27 reviews, 14 commits, 29 PRs in 2 years 8 months
Contributions summary:Hoo contributed to the NVIDIA NeMo repository, specifically focusing on end-to-end automatic speech recognition and relation extraction tasks. Their contributions involved modifying and adding notebooks related to BioMegatron for relation extraction and token classification. They fixed errors in the Colab environment, updated installation instructions, and integrated changes reflecting updates in the NeMo text classification module, demonstrating a practical understanding of the framework and its application in NLP. Furthermore, they added relative positional embedding (RPE) feature to transformer module.
asrspeech-recognitionnatural-language-processingttsspeaker-diarization
khcs/Megatron-LM
Apr 2020 - Aug 2021
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Contributions:4 PRs, 5 pushes, 3 branches in 1 year 4 months
nlptransformersbertlanguage-modelingongoing
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