Curriculum Vitae

lijinxuan1101_work@outlook.com · +86 80398859

Education

Master of Computing (Information Systems specialisation)

Aug 2025 – May 2027

B.S. in Information Management and Information System; Minor in Statistics

Sep 2021 – Jun 2025

Experience

Algorithm Engineer Intern, JD

Mar 2026 – Aug 2026

China

  • RectifyGuard (AAAI submission, under review): formalized out-of-region content drift in e-commerce image rectification and proposed a multi-stage framework — a violation-type-aware mask refinement module (VTAM), a pixel-level paste-back mechanism, and a non-diffusion refiner (LaMa, Restormer). Introduced the EC-Compliance-50K benchmark (50K images) and outperformed Qwen-Image-Edit, Seedream 5.0, and FLUX.2 across preservation, reconstruction, and boundary-consistency metrics.
  • Internal Compliance Data Management System: built a Flask-based data-governance platform with configurable scheduled pipelines that incrementally aggregate trillion-row Hive datasets into ClickHouse, plus Redis caching for millisecond-level responses, and custom computation/visualization modules for core compliance metrics.

AI Product Manager Intern, Meituan

Jan 2026 – Mar 2026

China

  • Agent Product Evaluation: co-developed a hierarchical evaluation framework for leading agent products across model capability, agent harness, and end-to-end performance, and built a weekly benchmark that surfaced capability gaps and informed product iterations.
  • Business Analytics Data Agent: designed a scenario-specific Data Agent and its toolchain, integrating internal data sources, an analysis agent, and an enterprise messaging bot to enable natural-language retrieval, drill-down analysis, and report generation.

Data Scientist Intern, 6Estates

Sep 2025 – Jan 2026

Singapore

  • Intelligent Document Processing System: developed the bank-statement OCR pipeline for automated extraction of static fields and transaction tables across dozens of banks, and refactored the production data-processing pipeline to standardize heterogeneous formats.
  • Credit-Risk Information Extraction: built a GPT-4.1-based workflow to extract overdue-payment information from SLIK reports, redesigning prompts and strengthening validation to reliably convert unstructured credit reports into structured risk data.

Projects

Freddie Mac Mortgage Default Anomaly Detection

Nov 2025

Machine Learning

  • Built a complete anomaly-detection pipeline on the Freddie Mac Single-Family dataset with 68 domain-informed features structured into 7 modular feature builders.
  • Compared Isolation Forest, LOF, One-Class SVM, and Elliptic Envelope; a fusion model over early-delinquency, amortization-shortfall, zero-payment, and LOF signals reached AUPRC 0.560 on the Kaggle private leaderboard vs. a 0.130 baseline.

RAG

  • A LangGraph-based Corrective RAG system integrating a local PDF knowledge base with Tavily web search, using adaptive retrieval, query rewriting, document scoring, and conditional routing to reduce hallucinations.
  • Processed PDFs with PyPDFLoader and recursive splitting, generated OpenAI embeddings, and built a persistent Chroma vector store with incremental loading; shipped CLI, Streamlit, and FastAPI interfaces.