Natural Language Processing (NLP) Developer in Plymouth, MI, United States

I designed and implemented NLU data, dialog stories, forms and custom actions (Python) for a demonstration chatbot, based on Rasa Open Source.

I developed a convolutional neural network regression in Python using Keras with a TensorFlow back end to drive a car virtually around a track. I improved on the well-known NVIDIA neural network for end-to-end deep learning for self-driving cars and achieved a 100% success rate on the most difficult track.

This portfolio project demonstrates a Flask-based implementation of a secure user model with registration, email confirmation, and Google OAuth 2 login, combined with an example of a catalog of items that are grouped in categories.

Registered users can CRUD the catalog via a web front-end or via a REST API that adheres strictly to the JSON API 1.0 specification. The REST API supports advanced searching and filtering. End-to-end scenarios are demonstrated via a Python client written in a Jupyter notebook.