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Ninglan Lei
Intern Full-Stack/Backend Software Engineer specializing in test automation and web systems
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About
Backend/ML engineer who built an end-to-end greenwashing detection system for corporate ESG reports: Python preprocessing pipeline, logistic regression + fine-tuned DistilBERT models, and a Dockerized FastAPI inference service optimized for latency. Internship experience maintaining GitLab CI/CD for TypeScript services (Jest/Playwright), improving pipeline stability and test determinism; familiar with Kubernetes/GitOps concepts and AWS CLI/SSO.
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Key Strengths
- Owned end-to-end ML + backend pipeline (preprocessing, model training, API deployment)
- Built robust text preprocessing for inconsistent ESG report formats (normalization + custom splitters)
- Production-minded API performance optimization (caching tokenizers, reusing model sessions, moving work off request path)
- Dockerized services for deployment
- Improved CI reliability by reducing test flakiness and consolidating duplicate GitLab pipeline steps
- Strong CI/CD debugging skills (reading CI logs, iterating on pipeline configs)
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