Runjie Luo

Runjie Luo

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Data Science Undergraduate · AI Systems Engineer

Resume

Education

B.S. in Data Science and Big Data Technology

University — Present

Technical Skills

Programming
Python
Java
TypeScript
SQL
Data Science & ML
Data Analysis
Statistical Modeling
Feature Engineering
Data Preprocessing
Exploratory Data Analysis (EDA)
Machine Learning Algorithms
Model Evaluation
Pandas
NumPy
Scikit-learn
PyTorch
AI Systems
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI Agents
LangGraph
Vector Search
Embedding Models
Agent Evaluation
Backend
FastAPI
PostgreSQL
Redis
Docker
Linux
Git
CI/CD

Experience

Software Engineering Intern

Company Name

  • Developed and optimized software components in a production environment.
  • Collaborated with engineering teams on real-world software development tasks.

Technology Intern

Company Name

  • Supported engineering projects and applied data science techniques to practical scenarios.

Selected Projects

AuditFlow

AI-powered Audit Intelligence Platform

Built an AI system for automated financial document analysis, combining data processing, retrieval systems, and multi-agent workflows.

  • Designed document processing pipelines for structured and unstructured data.
  • Developed RAG-based knowledge retrieval and evidence grounding mechanisms.
  • Built evaluation workflows to measure agent reliability and system performance.
  • Implemented data modeling and storage layers using PostgreSQL.

Financial Analysis System

Data-driven Financial Document Analysis Platform

Developed a data analysis pipeline for extracting, processing, and analyzing financial information.

  • Applied data preprocessing and statistical analysis techniques.
  • Built automated workflows for financial data extraction.
  • Generated analytical insights from structured and unstructured financial data.

LuoBlog Studio

AI-native Personal Knowledge & Writing Workspace

A local-first AI writing system integrating knowledge management, research workflows, and structured content generation.

  • AI-assisted writing workflow
  • Knowledge organization
  • Prompt-driven automation
  • Personal productivity systems

Machine Learning Experiments

Regression Modeling on Healthcare and Housing Datasets

Implemented regression models including Linear Regression and Kernel Ridge Regression.

  • Compared model performance using MSE and R² metrics.
  • Conducted data preprocessing and model evaluation experiments.

Research / Writing

Awards & Achievements

  • Selected participant in academic summer program
  • Developed independent AI systems projects focusing on agent reliability and applied artificial intelligence

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