Christopher Hynes
Data Science, Machine Learning & Applied AI
I’m an M.S. candidate in Computer Science at Georgia Tech with a 4.0 GPA and a B.S. in Statistics and Economics. I build and evaluate machine learning systems, data products, and applied AI tools using Python, R, and modern ML frameworks.
My recent work includes self-hosted LLM applications, large-scale machine learning experiments on datasets with up to 7.7 million records, and a replication study of a published neural architecture for hospital readmission prediction. Earlier work spans customer analytics, economic research, and causal inference.
I’m interested in data science, machine learning and AI engineering, and applied research roles where rigorous experimentation, reliable implementation, and clear technical communication matter.