Minjeong Kang

I participated in a hands-on internship for 6 months at NAVER Cloud's Data Platform team.
As an AI major, I have an interest in big data platform development and joined the internship to gain experience at a cloud CSP company.
I learned that big data systems are not specific to certain IT or business departments but are enterprise-wide systems, and I realized the importance of collaboration among various roles (planning, marketing, development, engineering, data analysis) during development.

[Internship Tasks Performed]

- Tested the Big Data platform services (Cloud Hadoop, Data Forest) after usage.
- Assisted in the development of APIs for Big Data platform services and tested and verified them using Swagger.
- Tested and verified CLI for Big Data platform services.
- Tasked with writing guides for Cloud Hadoop CLI and API.
- Worked on writing the Data Forest API Guide.
- Created user guides for Cloud Hadoop and Data Forest products (Technical Writing).
- Resolved platform service errors (bugs) using BTS (Bug Tracking System).

I worked in the MLops team at a cloud company that uses both Private Cloud and Public Cloud (AWS, Google, NCP) for 6 months. I was responsible for setting up and operating data pipelines using Kubernetes and ELK on cloud servers, as well as performing anomaly detection and data monitoring tasks using machine learning models on internal and client data.