Artificial Intelligence

Open Source Contributions

Hugging Face Candle

Contributed to Candle, a minimalist ML framework for Rust with a focus on performance and ease of use. My contributions include:

  • implemeted qwen3.rs intial version
  • Fixed docs
View on GitHub →

Transformers Library

Active contributor to the state-of-the-art NLP library with over 100k stars. My contributions focus on:

  • Translation
View on GitHub →

Hugging Face Hub

Enhanced the Hub client library to improve developer experience:

  • Fixed Dynamic commit size problem
View on GitHub →

Published Models & Datasets

I have published various models and datasets to the Hugging Face Hub, contributing to the open-source ML community. My published work includes:

Fine-tuned Language Models

  • Korean Code Reviewer (fine-tuned QWEN2.5 Coder)
  • Code vulnerability detector

Curated Datasets

  • Korean Code review dataset
Hugging Face View my Hugging Face Profile

Community Involvement & Leadership

Pseudo Lab - HuggingFace Beyond First PR

Participated in Pseudo Lab's specialized program for contributing to Hugging Face ecosystem:

  • Advanced contributor training for Hugging Face libraries

OSSCA 2025 Continuous Contributor

Ongoing participation in Open Source Software Campus Activist program:

  • Regular contributions to major open-source AI/ML projects

GDGoC HUFS - MLOps Study Lead

As a member of Google Developer Groups on Campus at HUFS, I led the MLOps study group where we:

  • Organized weekly workshops on ML deployment best practices
  • Taught containerization with Docker for ML models
  • Implemented CI/CD pipelines for ML projects using GitHub Actions
  • Explored model monitoring and versioning strategies
  • Hands-on sessions with tools like MLflow, DVC, and Weights & Biases

Skills & Technologies

Deep Learning Frameworks

  • PyTorch & PyTorch Lightning
  • TensorFlow & Keras
  • JAX & Flax
  • Hugging Face Transformers

MLOps & Deployment

  • Docker & Kubernetes
  • MLflow & Weights & Biases
  • Model serving with FastAPI
  • Cloud platforms (AWS, GCP)

Achievements & Recognition

🏆

Hugging Face Community Contributor

Recognized for consistent contributions to the Hugging Face ecosystem

📊

MLOps Study Group Excellence Award

Best study group leader at GDGoC HUFS 2024

🌟

Open Source Impact

Models and datasets used by 1000+ developers worldwide

Research Interests

Natural Language Processing

Large language models, multilingual NLP, and efficient fine-tuning techniques

Model Optimization

Quantization, pruning, and knowledge distillation for edge deployment

Federated Learning

Privacy-preserving distributed training and secure aggregation