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Where Skills Meet Impact:
My LINE Internship Experience
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Amber Chen
TECH FRESH @LINE
# Experience
• 2025 LINE TAIWAN | Tech Fresh @Data Dev
• 2024 Academia Sinica | Intern @IIS
# Education
• Bachelor’s degree in Arete Honors Program (CS)
@NYCU
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01
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# Introducing our team and its mission
# My role and the projects I contribute to
# DevOps and MLOps concepts and how we apply them
in our projects
What I Work On
How We Work in the Data Dev
# Technical growth, development mindset, teamwork
experiences
What I Have Learned at LINE
What the Data Dev Team Does
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# Great workspace, snacks & drinks everywhere, fun and
engaging activities
Life as an Intern at LINE
CONTENT
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# Introducing our team and its mission
01
What the Data
Dev Team Does
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Text/Image/User
Behavior
Analyzing Generation
Modeling
Data Processing Data Utilization AI Applications
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Data & ML Platform Data Science AI Solution Search Platform
Data Dev
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# My role and the projects I contribute to
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What I Work On
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LINE
SHOPPING
Object Detection Service
Development
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Image Forgery
Detection
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Text and
Image Generator
AI Generation Platform
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# DevOps and MLOps concepts and how
we apply them in our projects
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How We Work
in the Data Dev
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How Do We Typically Develop
School Projects?
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Source: https://www.reddit.com/r/ProgrammerHumor/comments/11sq6a0/dont_touch_it,
https://dev.to/zairiaimendev/if-the-code-works-dont-touch-it--om4,
https://eiki.hatenablog.jp/entry/meteo_fall
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What Might Happen in a
Company If We Did This?
Teamwork without rules Conflicts & inconsistent quality
No continuous testing Bugs explode at once
Big bang updates System prone to failure
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So We Can Not Work This Way in
LINE
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We Need Methods to Help Us
Develop More Reliably
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DevOps
Source: https://www.itinfra-solution.com/post/devops-importance-benefits
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CI/CD Pipeline
Source: https://primotech.com/ci-cd-pipeline-everything-you-need-to-know
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DevOps
DevOps =
Fast + Reliable delivery through
automation & collaboration
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How about Applying DevOps to
Data Development ?
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MLOps
Source: https://www.itinfra-solution.com/post/mlops-intro-guide
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Source: https://ml-ops.org/content/mlops-principles
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MLOps
MLOps =
Scalable + Reproducible ML
through automation &
continuous improvement
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# Technical growth, development mindset,
teamwork experiences
04
What I Have
Learned at LINE
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Technical
Skills
Development
Mindset
Team
Collaboration
What I Have Learned at LINE
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# Great workspace, snacks & drinks everywhere,
fun and engaging activities
05
Life as an Intern
at LINE
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