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Yili Jin
Intern Software Engineer specializing in data systems and machine learning
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About
Internship experience at TikTok and nCino, with hands-on work spanning production Python data pipelines, recommendation-system feature workflows, Salesforce Apex automation, and flaky UI automation for a live stock recommendation platform. Stands out for a reliability-focused approach: anticipating failure modes, instrumenting observability, and turning ambiguous business processes into maintainable automated systems.
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Key Strengths
- end-to-end reliability engineering for production data pipelines
- strong observability mindset using data checks and downstream metric monitoring
- debugging silent data-quality issues and schema drift
- stabilizing brittle dynamic UI automation in real-time applications
- uses business-state-based waits instead of brittle visibility checks
- systematic flaky test diagnosis with logs, screenshots, and trace artifacts
- translating ambiguous business workflows into modular automated solutions
- thoughtful exception handling and edge-case testing
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