Mckay Jensen

Summary

I have a background in scientific programming, data science, & economics. I'm currently looking for a full-time role as a software developer.

Technical proficiency

Python
numpy, pandas, SciPy, scikit-learn, PyTorch, Django
Julia
C++
including modern standards
Rust
Front-end web
JS, TS, React, Svelte
Probability & statistics
Numerical analysis

Professional experience

Software developer - AI trainer
2024 - Present
DataAnnotation Tech
  • Helping improve generative AI programming assistants by testing and debugging AI-generated code
  • Covering many application domains but with an emphasis on Python and JavaScript code for data science and web development
Private math and programming tutor
2023 - Present
  • Tutoring university and high schools students in linear algebra, statistics, programming, and microeconomics
  • Top-rated (5 stars) on Wyzant tutoring platform
Research scholar
2022 - 2023
Centre for the Governance of AI - Oxford, UK
  • Formulated mathematical models for competition between technological innovators and programmed numerical solvers and user interfaces to explore these models
  • Published results to inform philanthropic spending
Research assistant
2018 - 2020
University of Utah - Salt Lake City, UT
  • Developed machine learning models for sentiment analysis on Twitter and used econometric tools to explore relationships between Twitter content and economic disparities.
  • Did Python data analysis for research in experimental/behavioral economics and created Django web apps for experiments
  • Programmed image processing, web scraping, and record-linking tools for use in labor/education economics
Older roles on LinkedIn

Education

MA in Economics
2020 - 2023
University of Chicago
  • Enrolled in PhD program; research involved economic applications of machine learning; left with master's degree in order to pursue jobs in software
  • Created C++ toolkit for high-performance, parallelized, agent-based economic simulations
  • Designed and created Django web apps for online behavioral experiments; did statistical analysis of experimental results
BS in Computational Mathematics
2018 - 2020
University of Utah
  • Graduated with 4.0 GPA
  • Coursework included physics, calculus, numerical analysis, computer science, probability, and statistics