Expand AI bullet with MCP servers and DAG orchestration details

Author: devbotman

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@@ -412,7 +412,7 @@ <h2 class="fade-in">Resume</h2>
         <li><span class="bullet-label">Process Optimization &amp; Velocity:</span> Accelerated time-to-market by removing <strong>90,000 engineering hours</strong> through process re-engineering and standardization. Established program review and prioritization cadence resulting in measurable efficiency gains and faster revenue generation.</li>
         <li><span class="bullet-label">Cross-Functional Execution:</span> Led complex cross-functional programs managing scope, vetting new requests, and driving technical consensus to hit cost, schedule, and feature targets. Mitigated dependencies across hardware and software teams, <strong>accelerating product launch by 3 weeks</strong>.</li>
         <li><span class="bullet-label">Internal Tooling &amp; Automation:</span> Built a commissioning file generator on GCP (BigQuery/SQL) cutting deployment time by 30 min/node (<strong>40% reduction</strong>). Developed API integration eliminating manual swivel-chair processes, saving 10+ actions/incident. Reduced redundant GCP compute costs by <strong>15%</strong> through workflow standardization.</li>
-        <li><span class="bullet-label">AI-Augmented Program Intelligence:</span> Designed and built an AI-powered agentic TPM tool using Python, Flask, and local LLMs (Ollama) to automate multi-source data aggregation, natural language analysis, and decision support, <strong>returning 5% of available bandwidth</strong> for critical work.</li>
+        <li><span class="bullet-label">AI-Augmented Program Intelligence:</span> Architected and built an agentic TPM intelligence platform using Python, local LLMs (Ollama), MCP servers for tool-connected data gathering and API access, and DAG-orchestrated pipelines for multi-source data aggregation, enabling natural language analysis and automated decision support across job market, program, and operational data, <strong>returning 5% of available bandwidth</strong> for critical work.</li>
         <li><span class="bullet-label">Executive Communication:</span> Owned executive-level reporting on program status, risks, and solutions, ensuring alignment from engineering teams to senior leadership across a matrixed $8.38B program.</li>
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