AI/ML Engineer
Honeywell Aerospace · Phoenix, AZ
- Spearheaded the design and development of an automated document-processing pipeline that transforms FAA hardware documentation into a structured logistics matrix, reducing annual processing time from 1,200 hours to 20 minutes (a 99.97% reduction) and generating $184,000 in recurring annual savings.
- Engineered core detection and remediation modules for an autonomous multi-agent system that identifies software defects, performs root-cause analysis, and deploys fixes; projected to save approximately $500,000 over 8 months by reducing debugging time.