// projects

Things I've built

6 projects spanning healthcare, finance, and legal tech. Each one shipped with real metrics and production-ready code.

FEATURED

Agentic ML System for Investment Execution

Walk-forward ranking-based ML system for ETF execution improving Sharpe-like ratio from 0.32 to 0.35 with automated monthly inference and GenAI reporting.

Sharpe: 0.32 → 0.35
PythonMLFinanceAgentic AI
FEATURED

SLA-CARA: Legal Contract Risk Analysis

RAG pipeline using FAISS and LLMs to classify risks in 1,500+ legal contracts. Legal-BERT embeddings + LLaMA-3 zero-shot reasoning.

86% accuracy · ROUGE-L 0.72
RAGNLPLLMFAISS

EEG Signal Pipeline @ UH Research

AWS-based pipeline for high-frequency EEG signals using wavelet and Hilbert transforms for cognitive state detection.

R² = 0.83
AWSSignal ProcessingMLResearch

Weakly Supervised Cell Classification

5-stage deep learning pipeline with attention-based MIL processing 10K+ single-cell crops from 4-channel fluorescence images.

Weighted-F1 = 0.60
Deep LearningPyTorchHealthcare

Stock Market Trend Forecasting

XGBoost and Gradient Boosting models for stock market trend forecasting with advanced feature engineering.

R² = 0.91
MLFinanceXGBoost

Global Health Expenditure Analysis

Interactive Power BI dashboard analyzing health expenditure across 100+ countries with K-Means clustering for policy insights.

100+ countries
Power BIClusteringHealthcare