I originally interned at LLNL over the summer of 2017, and joined part-time during university to support the software side of the project longer-term. I am continuing to develop vision algorithms for scientific measurements, but I am also working on streamlining our team’s workflow by using the latest workflow automation tools like Dagster.
I developed image processing pipelines for autonomous vehicles (AVs) and architected an extensible simulator for AVs using Microsoft AirSim and Unreal Engine.
I interned at LLNL working on the Film Scanning and Re-Analysis Project. My research project was to design a semi-automated image processing pipeline to measure the size of the shockwave from a nuclear blast. The pipeline I developed provides was developed in Python using the OpenCV library and can detect and accurately measure the shockwave and fireball with minimal user input.