Applied AI/ML Engineer. MS Applied Data Science, University of Chicago. BS Computer Science + Mathematics, Marquette University.
I build production AI systems: agentic pipelines, RAG systems, multimodal CV, and ML models in regulated industries. Currently at Wells Fargo doing credit risk ML and AI/ML applications in financial services. Also a Teaching Assistant for the UChicago MS Applied Data Science program.
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First author. IEEE Big Data 2022. "Oversampling Techniques for Predicting COVID-19 Patient Length of Stay." ANN + Bayesian hyperparameter tuning + SMOTE-style oversampling. 85.79% F1, outperforming prior benchmarks of 49-80%. arXiv:2511.15048
Chartwell Insurance AI Production RAG system for insurance services. Modular retrieval pipeline, eval harness with hyperparameter tuning, Streamlit deployment. Built to handle real client queries with compliance constraints.
SkySearch UAVs Multimodal LLM + computer vision system for autonomous UAV object identification. Zero-shot generalization over traditional CV approaches. UChicago MS thesis project. Writeup forthcoming.
