Machine learning engineer
I build models from the ground up — and the pipelines that feed them.
I work on applied machine learning: data acquisition, training, and getting the result in front of a user.
Most recently: LLM-assisted labeling for sentiment models, and a neural network framework written from scratch in NumPy.
End-to-end sentiment pipeline with LLM-assisted labeling
A complete pipeline that turns unstructured Reddit discussion into a trained sentiment classifier — and then serves it.
Backpropagation in NumPy — then MRI tumor classification on top of it
Before using a deep learning library, I wrote one. DL3.py implements the full training loop in NumPy with no TensorFlow anywhere.