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Researcher @lablup , AI/ML GDE @ml-gde. Korean AI/NLP Researcher and creator of multiple Korean PLMs. Focused on advancing Open LLMs.
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Assessing your cultural and operational fit
Lablup Inc.
Data Scientist
June 27, 2026 – Present
InfiniTransformer
April 12, 2024 – April 23, 2024
Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
View ProjectBitNet-Transformers
October 19, 2023 – March 17, 2024
0️⃣1️⃣🤗 BitNet-Transformers: Huggingface Transformers Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch with Llama(2) Architecture
View Projectko-lm-evaluation-harness
July 24, 2023 – February 28, 2024
Forked repo from https://github.com/EleutherAI/lm-evaluation-harness/commit/1f66adc
View ProjectKoAlpaca
March 18, 2023 – October 25, 2024
KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)
View Projecthatescore-korean-hate-speech
March 29, 2022 – April 11, 2022
8K human in the loop hate speech dataset and 2.2K neutral sentences
View ProjectKcELECTRA
April 7, 2021 – November 7, 2022
🤗 Korean Comments ELECTRA: 한국어 댓글로 학습한 ELECTRA 모델
View ProjectKcBERT
July 19, 2020 – November 7, 2022
🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in open-source contributions and research-oriented projects, which could indicate a good cultural fit for organizations valuing innovation and knowledge sharing. However, the projects are predominantly personal and academic, with limited information on collaborative or production-oriented work. The current employment as 'Data Scientist' at Lablup Inc. is noted, but without details on responsibilities or achievements, it's difficult to fully assess cultural fit in a professional team setting. The diversity of projects within the NLP/LLM domain is high, but broader data science skills (e.g., data engineering, MLOps, statistical modeling beyond deep learning) are not explicitly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.