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Kangjie Lu
Intern Full-Stack Software Engineer specializing in data pipelines and AI/ML systems
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About
Software engineer with experience building a Vue.js/TypeScript internal component library (with Jest testing standards) and improving JS runtime performance via profiling, code splitting, and lazy loading. Also led documentation and community support for a Python ML utility library, diagnosing metric-calculation bugs for imbalanced datasets and driving large reductions in support inquiries through targeted docs, tests, and rapid hotfixes in a startup environment.
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Key Strengths
- Built and maintained an internal Vue.js + TypeScript UI component library to eliminate duplicated logic across apps
- Established Jest-based testing standards for shared libraries
- Performance optimization using profiling (Chrome DevTools), code splitting, and lazy loading (reduced load time by 1.2s)
- Architecture refactoring: isolated API logic into a typed service layer to improve maintainability/testability
- Audience-driven technical documentation using problem-solution structure and reproducible examples (reduced usage inquiries by 60%)
- Strong debugging/issue replication for ML metrics bugs; added tests + docs (reduced follow-up questions by 85%)
- Ownership in unstructured environments: KPI-tied prioritization and rapid hotfix + docs turnaround within 48 hours
- Community support and stakeholder alignment with measurable outcomes (community engagement up 50% over 3 months)
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