Machine Learning Engineer and Data Scientist

I provide independent and contract data science, machine learning, forecasting, trading-system, AI-integration, and defense and space data-engineering services. I rebuilt production trend-characteristics forecasting systems using seasonality, spectral decomposition, and volatility classifiers, and continue supporting large-scale trend-intelligence systems.

I design time-series, sentiment, NLP, and neural-network pipelines for summarization, clustering, featurization, message classification, and supervised learning on large labeled datasets. I have integrated conversational AI and retrieval-augmented clinical question answering, including multi-provider LLM tooling with structured tool calling.

I build institutional market-data pipelines, live broker execution systems for futures and same-day options, options-pricing models, cloud-based mission and lunar measurement pipelines, and instrument-calibration software for bio-aerosol sensors. My consulting also includes game mathematics, paytable simulation, medical coding tools, wage analytics, staffing models, pricing models, and anomalous-trade detection.

Managed campus IT operations, supporting technology infrastructure and systems for the school environment.

Taught physics, advanced mathematics, and computer science courses. Combined technical administration with science and technology instruction for secondary-level students.

Completed a B.S. in Physics. Also completed more than 40 graduate credit hours in Computer Science, Mathematics, and Physics, including Machine Learning, Data Science, Databases, Numerical Analysis, Mechanics, and Optics.