In the future I will use this website as a nesting ground for web-based computer vision and NLP models. Though I don't expect it to be anything more than a portfolio site, I strongly suspect that these skills will be crucial to technological development in the years to come.

I discovered machine learning at the beginning of 2018 after graduating from Baylor University. Since then, I have immersed myself in data science communities on Medium and across the web.

I have rich experience in building machine learning solutions for NLP tasks. I have built models to assist in sentiment analysis, demographic clustering, and topic modelling.

I have hosted and deployed my own MySQL database with this website. I have a intermediate knowledge of SQL queries, and have had experience working with AWS and GCP database servers through SSH.

By renting servers from DigitalOcean, GCP, and AWS I have been able to develop my own back end production environment. I believe that data scientists who can own every step of the ML lifecycle will be invaluable in the coming years..

I am curious by nature. Machine learning and natural language processing are both excellent tools to understand the world better.

Despite the hype over integrating AI into existing technologies, the implementation of machine learning (especially NLP) is still in its infancy. This field is the wildwest, and I want to work with the pioneers and innovators that create new and amazing things.

I am interested in building modular machine learning applications that can communicate with existing production systems.

Position titles that do this work are not well defined. I describe my perfect future position to be a mix of data science, machine learning engineering, and devops. Essentially a machine learning specialist with the skills to deploy a model to production.