I'm a Lead Data Engineer at Open Architects, where I build and maintain data infrastructure for educational analytics serving 130+ school districts. I specialize in automating data pipelines, optimizing system performance, and ensuring reliable delivery of insights.
- Data Engineering Building Python OOP data warehouse platform
- Machine Learning - MLOps, predictive modeling, recommender systems
- Cloud Infrastructure - AWS, Databricks, BigQuery, and scalable ETL pipelines
- Open Source - Contributing to data engineering and ML projects
Enhanced EEG classifier for detecting student confusion in online learning. Improved model performance by 27% through rigorous feature selection and hyperparameter optimization.
Research at Duke University using multi-Otsu thresholding to segment potential instances of TBI from brain CT scans with advanced preprocessing and ML methods.
AI-powered video automation pipeline that converted Reddit posts into TikTok content using Python, PRAW, MoviePy, and AI narration.
Streamlit app with automated NBA data pulling, ML predictions, and CI/CD deployment to AWS EC2.
- MS Computer Engineering - Duke University (2021-2023)
- BS Data Science - Bryant University (2018-2021)
- Minors: Business Administration & Mathematics