Position: AI Engineer Associate

• Liaised with four customers (including two internal Department of Defense clients) and developed unique products/product iterations that resolved specific customer needs, communicating features during weekly product demonstrations
• Facilitated $225K in calculated labor savings via parts management group workflow optimization and the creation of a platform that quickly extracted accurate pick ticket barcode numbers and part dimensions using Python, deep learning, and RDBMS
• Supported a $1M+ project, ARISE Analytics, to transform the existing frequency domain input autoencoder enabling automatic IMU anomaly data analysis, spectrogram input, and reconstruction error evaluation with PyTorch.
• Within ARISE, increased the weighted Kendall Tau determination score from 18.7% accuracy to 82% accuracy, leading to the creation and integration of a more effective cross-correlation metric related to IMU time series runs
• Accelerated the machine learning workflow by 300% via asynchronous pipeline development, minimizing bottlenecks and increasing workflow efficiency
• Built from 0-1 NLP solution to parse 1000+ legacy SharePoint sites and stood up a Tableau dashboard backed by Postgres showing the analytics of Export Controlled vs Non-Export Controlled Information
• Maximized internal engineer buy-in concerning the creation of an approved REST API URL within Python via presentation development and distribution concerning authentication verification protocols for SSO and SAML
• Served as an active member of weekly paper discussions, engaging in insightful conversations, contributing viewpoints, and absorbing knowledge from peers in the rapidly evolving field of artificial intelligence