Software Developer who is enthusiastic about developing AI service and managing server and infrastructure. Having experiences making web services based on Machine Learning and Deep Learning. Interested in understanding AI trend and applying AI technologies to solve real world problems.
Love to write what I learned and share knowledge.
- Migrate EC2 instances to Kubernetes cluster
- Manage Kubernetes cluster (resources, pv / pvc)
- Migrate RDS to Helm Chart DB
- Establish Kubernetes cluster back-up / restore strategy
- Develop anomaly detection system that determines whether a board image is defective during the circuit board process
- Use only normal images while training deep learning model.
- Build an automatic social web page crawler to analyze fan data(ex. Youtube) and create a data analysis service using the data
- Develop a function to collect and monitor data from Instagram, TikTok, youtube, etc. with a crawler, and an API and UI showing the cumulative sum of each column or the differences between dates
- Develop deep learning-based outlier detection system for outlier detection in the chromate process and proposition of a process system in a factory
- Develop GAN-based deep learning model that determines defective products using only good images
- Published Journal: https://www.mdpi.com/2076-3417/12/15/7549
- Programming languages : Python, JavaScript, Typescript, C/C
- IDEs : VSCode, Eclipse, Vim
- Databases : MySQL
- Machine/Deep Learning : PyTorch, TensorFlow
- Framework : React, Django
- Infrastructure: Kubernetes, Docker, Ansible