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%

SQL 85%

Full-Stack Development (MERN) 85%

Visualization 80%

  • 11/2022 to Present

    Senior Machine Leanring Engineer

    STN Video

  • 10/2021 to 10/2022

    Machine Leanring Engineer

    STN Video

  • 09/2018 to 09/2021

    Machine Leanring Specialist

    University of British Columbia

  • 06/2020 to 08/2021

    Web Application Developer

    University of British Columbia

  • 01/2021 to 04/2021

    AWS Application Project

    Web project for HSBC

  • 09/2012 to 08/2018

    Graduate Student Researcher

    Researched langauge processing.

  • 08/2018 to 05/2021

    B.Sc. Computer Science

    University of British Columbia

  • 09/2014 to 08/2018

    Ph.D. Psychology, Qantitative Sciences (Minor)

    University of British Columbia

  • 09/2012 to 08/2014

    M.A. Psychology

    University of British Columbia

  • 09/2006 to 05/2011

    B.Sc. Psychology

    University of Calgary

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.

My Featured Projects

Expense Tracker

ToDo List

Event Manager

Predicting Employee Promotion

Predicting Medical Expenses

Predicting Loan Eligibility

Classifying Images (CNN)

Customer Churn (ANN)