- Share new technologies
- Release useful services using data.
- Utilizes Variety Big data, ML,DL technologies.
- Try to make USEFUL end to end service that actually users need.
- Value growth together through various studies and community activities.
- Using Cloud
- Public Cloud(NCP, GCP, AWS, Azure)
- Data Engineering(kafka,hadoop,spark)
- Machine Learning & Deep Learning
- Python(DjangGo, Flask)
- k8s
- Leadership, Writing, Presentation
- Community(Tensorflow KR, Kaggle KR, etc.)