Decision Systems & Technology

Technical Work

My technical work explores how software, machine learning, and human judgment come together within real-world decision systems. I am building toward Machine Learning Engineering through Python Backend Engineering and MLOps, with a developing focus on production ML systems that predict, recommend, rank, forecast, optimize, and support human decision-making.

Areas of Focus

Python Backend Engineering

Building reliable APIs, databases, and software infrastructure for digital and machine-learning applications.

MLOps & ML Systems

Deploying, monitoring, maintaining, and improving machine-learning systems in production.

Recommendation & Ranking Systems

Building systems that determine what actions, products, information, or opportunities should be recommended or prioritized.

Forecasting & Optimization

Using models to anticipate future conditions and determine better actions under business and operational constraints.

Human-in-the-Loop Decision Systems

Exploring how human judgment, computational recommendations, rules, and machine learning should interact in consequential decisions

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