Position: AI Engineer Associate

• Partnered with 4 customers (incl. 2 government stakeholders) to deliver and iterate analytics products; led weekly demos translating requirements → shipped features.
• Delivered $225K calculated labor savings by optimizing parts-management workflows and building a computer-vision extraction tool to capture pick-ticket barcodes + part dimensions (Python + deep learning + RDBMS).
• Supported a $1M+ anomaly-detection initiative (ARISE): modernized a frequency-domain autoencoder pipeline for IMU anomaly analysis with spectrogram inputs + reconstruction-error evaluation (PyTorch).
• Improved ARISE ranking quality by increasing weighted Kendall Tau from 18.7% → 82% via a redesigned cross-correlation metric for IMU time-series comparisons.
• Accelerated ML experimentation workflow by 3× by building an asynchronous pipeline that reduced bottlenecks and improved throughput.
• Built a 0→1 NLP pipeline to parse 1000+ legacy SharePoint sites and launched a governance dashboard (Tableau + PostgreSQL) to track export-controlled vs non-export-controlled content.
• Drove internal adoption of an approved REST endpoint by authoring and presenting authentication guidance for Single sign-on / SAML verification.
• 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