PARKER MORRIS
Boulder,CO
Summary
Driven Software Engineer with a background in machine learning and scientific computing.
Overview
3
3
years of professional experience
Work History
Scientific Software Engineer
Stratton Park Engineering Company
01.2024 - Current
- Created a new software suite for interpreting data from cloud droplet probes. This software resulted in a optimized work flow that reduced time to create readable data by 30%. This simplified workflow and allowed scientists and engineers with limited computing knowledge to run the code easily.
- Created internal tools that allow engineers to calibrate sensitive equipment independently without direct oversight of cloud physicists.
- Part of a two person team in charge of data engineering for 18 cloud measuring devices on the NASA ARCSIX mission (Arctic Radiation-Cloud-Aerosol-Surface Interaction Experiment).
- Part of a three person team developing data visualizations to be shared amongst teams participating in ARCSIX.
Software Engineer
Log-io
06.2022 - 10.2023
- Created a tool to increase efficiency in the Air Force logistics system
- Created a web application using Python, Docker, Django and React with heavy emphasis on object oriented design for scalability
- Optimized flow using minimum cost flow algorithms
- Created a REST API with Django
- Worked with non-technical coworkers to bring their ideas into software.
Undergraduate Researcher
Satellite Navigation and Sensing Laboratory
07.2021 - 05.2022
- Automated data preprocessing and scintillation detection
- Co-authored A Comprehensive Characterization of Ionospheric Scintillation that has been presented at AGU Fall Meeting 2021
- Created machine learning models in order to predict total electron count (TEC) of the ionosphere
- Automated testing of machine learning models
- This algorithm tests on a data set in the hundreds of gigabytes, requiring extensive multithreading.
Education
M.S. - Computer Science
University of Colorado
Boulder, CO05.2023
B.S. - Computer Science
University of Colorado
Boulder, CO05.2022
Skills
- Git/SVN
- CI/CD
- Docker
- Kubernetes
- Scripting
- PyQt
- Networking in Linux environments
- High Performance Computing
- Data Engineering
- Slurm
- Test Driven Development
- Agile software development
- Python
- C
- C
- Java
- Matlab
- Javascript
- Django
- Machine Learning Algorithms
Projects
- Capstone Project with Congruex LLC, Created a machine learning model that predicts profitability of jobs, accessed through a react website.
- Spotify Visualizer Website, Used React to display a visualization appropriate for tempo, mood and other features of the song played on Spotify.
Timeline
Scientific Software Engineer
Stratton Park Engineering Company
01.2024 - Current
Software Engineer
Log-io
06.2022 - 10.2023
Undergraduate Researcher
Satellite Navigation and Sensing Laboratory
07.2021 - 05.2022
M.S. - Computer Science
University of Colorado
B.S. - Computer Science
University of Colorado
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