About

I’m an M.S. candidate in Psychology: Data Science in Human Behavior at UW–Madison (expected Dec 2026), with a B.S. in Psychology (neuroscience concentration, sociology minor) from UW–Parkside.

I build AI systems from start to finish: multi-agent document pipelines, transformer fine-tuning and calibration, LLM evaluation, computer vision classification, and behavioral prediction models. Before graduate school I spent five years in high-volume logistics and operations, working on quality assurance, documentation, and process improvement. That background is why I care about error rates, reproducibility, and cost as much as accuracy.

Interests

Technical Skills

Programming Languages
Python (pandas, NumPy, scikit-learn, PyTorch, Hugging Face), R, MATLAB, SQL, Parquet, Git
Machine Learning
Transformer fine-tuning, model evaluation & calibration, cross-validation, SHAP/feature importance, error analysis, computer vision (OCR-based document classification), experimental design
AI Engineering & Development
LangGraph, multi-agent pipelines, prompt engineering, LLM eval harnesses & LLM-as-a-judge, model serving (vLLM, Ollama, LM Studio, OpenRouter), ONNX + FastAPI deployment on Modal
Engineering & Cloud
Docker, pytest, Quarto, AWS, Azure

Education

University of Wisconsin–Madison Madison, WI Expected Dec 2026

M.S. Candidate — Psychology: Data Science in Human Behavior · GPA 3.85

  • Graduate work in machine learning, statistics, behavioral data analysis, predictive modeling, experimental design, and publication-quality visualization.

University of Wisconsin–Parkside Kenosha, WI Sep 2020 – May 2025

B.S., Psychology · Concentration: Neuroscience · GPA 3.93

  • Minor in Sociology; Provost’s List (7x), Dean’s List (8x), Distinguished Achievement Award (2025), and Psychological Research Certification (300 lab hours).

Research Training

  • CITI Program: Conflicts of Interest training 2025
  • CITI Program: IRB Training for Students and Faculty 2025

Download the full résumé