LLM-powered pipeline using OpenAI Function Calling to extract financial metrics, risk factors, and management insights from SEC 10-K filings. Integrated RAG for multi-document question answering.
Built supervised learning pipeline with SMOTE, SHAP, and ensemble models reaching 92% AUC. Implemented feature engineering and model interpretability for business insights.
Implemented a compiler from scratch in C, covering lexical analysis, syntax parsing, semantic analysis, and code generation. Educational project demonstrating compiler construction principles.