Optimized geospatial data importer performance, achieving a 50% reduction in latency and a 95% decrease in compute resources through new push-based, modular framework

Co-led "Wing AI Champions" to accelerate adoption, driving AI usage to 88% by authoring developer guides and teaching live workshops

Managed software engineer vendor to modernize legacy infrastructure

Compared neural architectures on generative drone flight navigation task by augmenting training data, implementing networks in TensorFlow, and training networks with TPE-based hyperparameter optimization

Engineered a ROS onboard control system to conduct experiments and validate model performance in real-world flight scenarios

Implemented DESIRE trajectory prediction deep neural network in PyTorch to provide lab baseline accuracy metric

Developed Jenkins integration test framework which ran autonomous vehicle perception and control software in simulation using Docker

Curated datasets with SQL and used Pandas to preprocess datasets for Pytorch models

Integrated UI tests into Azure Pipelines CI/CD system, automating regression detection

Wrote Bazel packaging rules and integrated them into CI/CD pipeline, automating packaging and enabling code delivery