Maxwell J. McCauley
Captain, FA26B Data Systems Engineer
Designed and maintained a live operational readiness dashboard for 1st Cavalry Division Artillery. Tracked key maintenance metrics (OR rates, ORILs, parts status, and services completed) using custom datasets aligned to Brigade requirements. Replaced manual spreadsheets with real-time visibility for leadership.
- Interactive dashboard with automated data refresh
- Custom data models tailored to combat readiness KPIs
- Aligned with BDE Maintenance SOPs
- Single-pane visibility of fleet readiness
- Reduced manual reporting workload
- Faster identification of readiness gaps and parts delays
Built a real-time personnel readiness dashboard for Brigade S1. Displays key HR metrics including DD93/SGLI completion rates, deployability status, medical non-deployables, and flags. Custom datasets and logic were tailored to S1 reporting needs.
- Real-time HR metrics with visual indicators
- Custom deployability and aging logic
- Designed for daily S1 and command use
- Instant visibility into personnel readiness
- Highlighted aging records and non-deployables
- Reduced manual reporting effort
Developed an integrated personnel and equipment readiness dashboard for the Signal School. Enables training teams to validate readiness by ATRRS cohort, battalion, and other levels. Combined personnel and equipment data into a single view.
- Multi-dimensional filtering (cohort, battalion, unit)
- Integrated personnel and equipment metrics
- Single source of truth for training pipeline readiness
- Reduced manual spreadsheet cross-checks
Engineered an automated data-collection and enrichment pipeline for PMG. Combines OSINT, business data, and CRM records to generate enriched client and lead profiles. Reduced manual research time and kept CRM records current.
- Multi-source enrichment pipeline
- Automated HubSpot/CRM updates
- Human-in-the-loop quality control
- Dramatically reduced manual research per lead
- Produced consistent, up-to-date contact profiles
Built a unified personal health and performance dashboard that aggregates data from multiple fitness platforms. Provides insight into health, recovery trends, and performance metrics without manual exports.
- REST API ingestion from three fitness platforms
- Scheduled data pipelines
- Unified metric model
- Eliminated manual CSV exports and spreadsheet work
- Continuous longitudinal view of recovery and performance
Currently fine-tuning a small local LLM into a specialized cooking assistant. Training on cookbooks and 120,000+ verified recipes using RAG. Goal is offline, voice-enabled kitchen integration.
- Local LLM fine-tuning on consumer hardware
- RAG over 120k+ recipes
- Planned voice interface
- Core fine-tuning and RAG pipeline in progress
- Focusing on offline & privacy-preserving operation