Data TECH FRESH企業參訪- Amber

Transcript

1. Where Skills Meet Impact: My LINE Internship Experience
2. 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
3. 01 02 03 04 # 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 05 # Great workspace, snacks & drinks everywhere, fun and engaging activities Life as an Intern at LINE CONTENT
4. # Introducing our team and its mission 01 What the Data Dev Team Does
5. Text/Image/User Behavior Analyzing Generation Modeling Data Processing Data Utilization AI Applications
6. Data & ML Platform Data Science AI Solution Search Platform Data Dev
7. # My role and the projects I contribute to 02 What I Work On
8. LINE SHOPPING Object Detection Service Development
9. Image Forgery Detection
10. Text and Image Generator AI Generation Platform
11. # DevOps and MLOps concepts and how we apply them in our projects 03 How We Work in the Data Dev
12. How Do We Typically Develop School Projects?
13. 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
14. 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
15. So We Can Not Work This Way in LINE
16. We Need Methods to Help Us Develop More Reliably
17. DevOps Source: https://www.itinfra-solution.com/post/devops-importance-benefits
18. CI/CD Pipeline Source: https://primotech.com/ci-cd-pipeline-everything-you-need-to-know
19. DevOps DevOps = Fast + Reliable delivery through automation & collaboration
20. How about Applying DevOps to Data Development ?
21. MLOps Source: https://www.itinfra-solution.com/post/mlops-intro-guide
23. Source: https://ml-ops.org/content/mlops-principles
24. MLOps MLOps = Scalable + Reproducible ML through automation & continuous improvement
25. # Technical growth, development mindset, teamwork experiences 04 What I Have Learned at LINE
26. Technical Skills Development Mindset Team Collaboration What I Have Learned at LINE
27. # Great workspace, snacks & drinks everywhere, fun and engaging activities 05 Life as an Intern at LINE