Michael Enefe

AI Engineer & developer with hands-on experience independently designing, building, testing, debugging, deploying, and maintaining project-based AI systems on Hugging Face Spaces. Specializes in agentic backends, tool calling, multi-provider LLM routing, RAG, REST/SSE APIs, automation, prompt engineering, guardrails, and production deployment. 35+ AI systems deployed for testing, reviews, experimentation, and knowledge sharing.

AI Engineer & Developer at Independent / Project-Based (2023 – Present)

Own the full AI application lifecycle across three Hugging Face organizations: requirements, architecture, model/provider selection, API and tool integration, automation, testing, deployment, debugging, monitoring, and iteration. Diagnose and resolve issues involving deprecated provider endpoints, incorrect package versions, model imports, initialization failures, API compatibility, response formatting, and incomplete model outputs. Build practical recovery mechanisms rather than relying solely on model behavior, including provider fallback, retry/backoff, response parsing, confirmation gates, and isolated error handling.

Evaluate open-weight models and tooling, including Wan2.2 and ComfyUI, for an agentic text-to-animation pipeline that automates scene breakdown, prompt generation, and rendering.