Brien Calloway

Designed enterprise AI reference architectures that separate model access, application workflows, and integration logic. Translated stakeholder requests into implementation plans covering user interactions, API boundaries, validation rules, and failure handling. Built a policy-aware AI gateway prototype to standardize language-model requests with access rules and usage capture. Established integration patterns for calendars, CRM, payment, and messaging services, including request validation, timeouts, structured responses, and actionable error handling. Defined prompt configuration and agent behavior testing patterns, documenting expected outputs and out-of-scope handling. Created observability for AI calls (latency, token consumption, failures, and usage) and incorporated security controls such as least-privilege access and audit-friendly records.

Mapped repetitive information requests and data-handling bottlenecks into AI-assisted service concepts with clear inputs, outputs, and review points. Designed a retrieval-augmented generation (RAG) approach for policy/service information to support grounded answers. Defined conversational patterns for clarifying incomplete requests and routing users to next steps, forming a foundation for FAQ automation and customer-service workflows. Built API-oriented application designs with emphasis on predictable responses, input validation, and manageable integration failures. Evaluated AI responses against representative questions and edge cases, refining prompts and retrieval rules. Developed monitoring/evaluation concepts (quality checks, latency tracking, and failure categorization) and documented integration dependencies, error scenarios, and acceptance criteria in alignment with operational and security requirements.

Built and maintained web application features across UI components, backend services, and integration points to support business workflows. Implemented interactive form behavior and validation using JavaScript, HTML, and CSS. Developed API integrations with structured error handling and retry logic to reduce manual recovery when external services failed. Connected internal applications with external business systems through documented interfaces and field mappings. Improved workflow behavior through hands-on testing and bug reproduction, added logging and operational checks to aid troubleshooting, and refined layouts/navigation based on user feedback. Maintained documentation for API contracts and data mappings and supported iterative delivery through testing against real business scenarios.