Natnael A.

I build reliable AI products, not just demos. I help startups and product teams design, ship, and improve LLM agents, RAG systems, evaluation pipelines, and the backend infrastructure around them. What I can own: • AI agents and multi-agent workflows using LangGraph, MCP, tool calling, memory, and guardrails • RAG and document intelligence: ingestion, embeddings, vector search, citations, and Q&A • LLM evaluation: LLM-as-judge, rubric scoring, regression tests, and model/prompt comparisons • Fine-tuning and inference optimization for open-source models • Production backends with Python, FastAPI, PostgreSQL, Docker, and AWS • Product integration with Next.js, Flutter, React Native, and business workflows Why clients hire me: • Top Rated with 100% Job Success • 30+ production web and mobile apps shipped, reaching 10K+ users • AWS Certified Solutions Architect – Associate • 700+ hours of intensive training in AI agents, evaluation, and forward-deployed engineering • Clear communication and ownership from architecture through deployment I focus on measurable quality, safe tool use, latency, and maintainable systems. If your AI feature is unreliable, expensive, or stuck at the prototype stage, send me the current architecture and goal. I’ll give you a direct assessment of the risks, scope, and best next step.