I work directly with your team to turn a business workflow into an AI-enabled application or integration. Bring me in to clarify requirements, design the system, write the software, and help your team release and operate it. We start by mapping the workflow, users, data, existing systems, access restrictions, and measurable acceptance criteria. Then we scope a focused implementation with an effort estimate, spending cap, and review checkpoint. Architecture and integration Connect approved data sources, model APIs, retrieval, backend services, authentication, and existing mobile or web products. Build citations, permissions, human review, and failure handling into the workflow where needed. CI/CD and release readiness Review build and deployment workflows, environment configuration, automated checks, release steps, and recovery procedures. LLMOps and MLOps for AI applications Define evaluation cases, logging, model and prompt configuration, quality checks, cost and latency visibility, and practical operating procedures for AI features. Engagements focus on integrating, evaluating, and operating the application around the model. Adoption and handoff Document the architecture, setup, operating steps, known limits, and maintenance decisions. Work with users and technical owners to review results, identify friction, and prioritize improvements. Relevant work Integrated a React Native AI assistant using Pryon, Auth0, Firebase, progressive responses, and source citations. My self-hosted FastAPI/Ollama coding-assistant prototype explores retrieval, evaluations, rate limits, and human handoff. My broader work spans cloud-backed mobile and web delivery and inherited-system recovery. Consulting is $100/hour. We agree on initial scope and estimated effort before work begins, review progress at defined checkpoints, and agree on further work as we learn.