About Me

• AI and Business Analytics professional with a foundation in mathematical modeling, quantitative research and machine learning.
• Experienced in applying ML, RAG and multi-agent AI workflows to business analytics, risk control and operational decision-making.
• Interested in intelligent systems, AI-enabled operational intelligence and strategic AI applications.

Education

Sun Yat-sen University
B.Eng in Theoretical and Applied Mechanics

• GPA: 3.3/5.0 (equivalent to 83/100 under institutional grading system) | Rank: 23/51
• Awards:
  • Undergraduate Thesis rated A and recognized as an Outstanding Thesis
  • First Prize, National College Students Mathematical Modeling Competition, Guangdong Division (2020)
  • Third Prize, Greater Bay Area Financial Mathematical Modeling Competition (2021)
  • Second Prize, SYSU Mathematical Modeling Competition (2019)

Tools / Keywords

• Programming & AI Systems: Python, SQL/MySQL, Spark, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Linux, Django, React, RAG Pipelines, Vector Databases, Multi-Agent Systems
• Machine Learning: Supervised & Unsupervised Learning, LightGBM, Logistic Regression, K-Means++
• Business Analytics: User Profiling, LTV Modeling, Risk Analytics, KPI Framework Design
• Quantitative Finance: Multi-factor Modeling, Quantitative Strategy Research, Backtesting Frameworks, Portfolio Risk Control, DeFi Hedging Strategies