About Myself

I am a highly motivated individual with a background in psychology, where my academic journey culminated in a dissertation focused on the intricacies of natural language. During my PhD program, I earned a minor in quantitative sciences and I developed foundational skills for analyzing large datasets. Over the course of graduate studies, I began to delve into the world of natural language models which sparked a deep fascination with the endless possibilities of machine learning models.

Driven by this passion, I decided to broaden my skill set and pursued a degree in computer science. This journey not only honed my programming skills but also allowed me to delve deeper into the realm of machine learning. Now, as a machine learning engineer, I bring a robust foundation in data science, seamlessly combined with my programming expertise, to create innovative solutions and contribute to cutting-edge projects.

Data Analysis 90%

Machine Learning 90%

Visualization 85%

SQL 85%

Full-Stack Development (MERN) 85%

Areas of Interest

Here are some of the things I love working on.



Machine Learning

I create models to predict everything from customer behaviour to neurological processing patterns.



Data Analysis

I love digging into data results, trends and statistics to hunt for answers to complicated questions.



Web Application Development

I develop full stack apps using the MERN stack, SQL, and AWS.



Collaboration

I have been fortunate enough to have amazing colleagues and mentors. I try every day to help my team be the best and complete amazing projects.



NLP

In grad school, I researched natural language processing. In recent roles, I applied this expertise to develop and refine large language models.



Presentations

I beleive sharing strategies, achievements, and challenges with relevant parties is essential to the success of my teams.