Adam Carter

Built an AI-powered revenue intelligence platform connecting LLMs to CRM, marketing, and support data via Model Context Protocol. Addressed tokenization limits on large datasets through intelligent context windowing and data chunking, enabling scalable LLM analysis. Architected a three-server production stack with Docker, HashiCorp Vault for SSL rotation, PostgreSQL with row-level security and audit trails, and MinIO for S3-compatible storage. Delivered SOC2 Type II compliance while using AI to audit codebases and generate documentation, cutting compliance overhead by 60%. Integrated 15+ sources (Salesforce, HubSpot, Stripe, Google Analytics) using React and Node.js with pgvector embeddings, reducing LLM response times by 70%. Implemented enterprise-grade monitoring with Prometheus and Grafana, preserving 99.99% uptime in a multi-tenant setup. Accelerated development velocity with Claude Code and MCP servers, delivering production-ready apps in under a week. Established branch-per-clie

Built AI-powered revenue intelligence platform connecting LLMs to CRM, marketing, and support data via Model Context Protocol, solving tokenization limits with intelligent context windowing and strategic data chunking. Achieved SOC2 Type II compliance while leveraging AI to analyze codebases and generate audit documentation, reducing compliance overhead.

Built AI-powered revenue intelligence platform connecting LLMs to CRM, marketing, and support data via Model Context Protocol, solving tokenization limits with large datasets through intelligent context windowing and strategic data chunking. Architected a three-server production infrastructure using Docker, HashiCorp Vault for automated SSL rotation, PostgreSQL with row-level security, and MinIO for object storage. Achieved SOC2 Type II compliance and reduced compliance overhead by 60% with AI-assisted audit documentation. Integrated over 15 data sources including Salesforce and Google Analytics, reducing LLM response times by 70%. Implemented enterprise-grade monitoring with Prometheus and Grafana, maintaining 99.99% uptime across multi-tenant architecture. Accelerated development using Claude Code and Canva MCP servers and designed branch-per-client CI/CD pipelines with automated testing and rollback for zero-downtime deployments.