Technical Portfolio

Years of navigating complex data landscapes—across both the DoD and the private sector—have taught me that the most impactful models are built on a foundation of rigorous logic and clean execution. While the bulk of my professional history remains behind corporate firewalls and classified environments, this portfolio serves as a transparent look into my technical methodology.

Leveraging my background in Statistics, I use these projects as a proving ground for modern workflows—applying Data Science, Machine Learning, and Agentic AI to solve the types of high-stakes challenges I’ve encountered throughout my career.

LLM Spreads: End-to-End Financial Data Extraction featured image
App

LLM Spreads: End-to-End Financial Data Extraction

Agentic financial extraction prototype. Built with Vertex AI (SFT), Docling & Modal.

DocChat: Intelligent Document Retrieval & Verification for Technical Data featured image
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DocChat: Intelligent Document Retrieval & Verification for Technical Data

Self-correcting multi-agent RAG for audits. Built with LangGraph, Docling & Modal.

Integrated Retail Intelligence: Predictive Operations Control Center on Shiny Dashboards featured image
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Integrated Retail Intelligence: Predictive Operations Control Center on Shiny Dashboards

ML-driven pricing & forecasting to end sales bottlenecks and accelerate time-to-close.

Banking Retention Intelligence: A Statistical Audit of Customer Attrition featured image
Notebook

Banking Retention Intelligence: A Statistical Audit of Customer Attrition

99% accurate churn model using SMOTENC & feature interaction engineering.

R-Powered Strategic Retail Intelligence: From Performance Audit to Market R&D featured image
Notebook

R-Powered Strategic Retail Intelligence: From Performance Audit to Market R&D

DoD-grade auditability in retail ML: XGBoost pricing & UMAP high-dimensional discovery.