- Improved on pre-existing simulation software workflows, and developed new ways to automate the simulation testing process- Merged the work of multiple teams on multiple software stacks to improve overall automation

- Built C++ evaluation into the development pipeline to catch issues early, provided useful metrics to catch and resolve faults before the resource-intensive stages of testing- Created and maintained simulated scenarios as the first stage of testing for new systems before they were deployed in the real world- Worked with scientists to develop and refine evaluation metrics for new products and algorithms- Triaged simulation-related issues in CI pipeline to identify and solve problems as they arose

- Developed Android application in Java using Bluetooth Low Energy to communicate with multiple peripherals enabling wireless data collection and control of peripheral state- Communicated with other team members to ensure effective data handling throughout process

- Retrofitted existing monocular and stereo machine learning-based depth estimation algorithm in Python for multi-camera application- Investigated visual structure-from-motion in low-contrast environment on iceberg mapping and volume estimation project- Fine-tuned iterative machine learning/image segmentation process to develop extensive underwater organism identification dataset using AWS, enabling preliminary results presentation to stakeholders- Assembled flying drone capable of localization and object detection for use in lab projects- Debugged program for aerial penguin identification

- Saved weeks of data processing by moving quarterly data ingest system from outdated excel-based workflow to a self-written fully-automated script in R- Created a demo version of R workflow in Alteryx in order for managers to assess the potential of the software platform