DLA Solicitation Analysis & Quote Pipeline
AI Automation Engineer
2026
- Built an AI-powered pipeline reducing DLA solicitation analysis from hours to minutes, outputting compliance reports, pricing recommendations, and vendor outreach documents
- Designed multi-agent orchestration using Claude AI (Opus/Sonnet) with 4+ parallel subagents that transform solicitation PDFs into structured reports, Excel workbooks, and submission-ready DOCX quotes
- Developed Python extraction scripts (pdfplumber, openpyxl, python-docx) to parse SF-18 forms, procurement history, manufacturer matrices, and compliance codes via regex
- Automated FAR 19.505 Non-Manufacturer Rule logic, NAICS cross-referencing, and certification gap analysis (JCP, CMMC L2, AS9120, NIST 800-171)
Tech: Python, Claude AI, Multi-Agent Orchestration, pdfplumber, openpyxl, python-docx, FAR/DFARS Compliance
