Natnael Weldeananiya

✔ 𝐈 𝐡𝐞𝐥𝐩 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐭𝐮𝐫𝐧 𝐭𝐡𝐞𝐢𝐫 𝐝𝐚𝐭𝐚 𝐚𝐧𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐢𝐧𝐭𝐨 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐮𝐬𝐢𝐧𝐠 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐋𝐋𝐌 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐭𝐡𝐚𝐭 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐝𝐨 𝐭𝐡𝐢𝐧𝐠𝐬.

Most AI projects fail not because of the model, but because of poor retrieval, weak context design, and no connection to real business actions. That's exactly what I specialize in fixing.

𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝:
⚡ RAG Systems: document ingestion, chunking, vector storage (Pinecone, FAISS, Chroma), semantic retrieval, and grounded LLM responses that don't hallucinate on your data.
⚡ AI Agents & Tool Calling: agents that don't just answer questions but take actions: send emails, log data, trigger workflows, query databases. Built on ReAct-pattern design with OpenAI, OpenRouter, and Ollama.
⚡ AI-Powered Apps: full-stack AI interfaces built with Next.js and Node.js: chat UIs, document Q&A tools, automation dashboards.
⚡ Workflow Automation: n8n pipelines that connect LLMs to your existing tools,APIs, and databases.

𝐑𝐞𝐜𝐞𝐧𝐭 𝐛𝐮𝐢𝐥𝐝𝐬:
→ AI Business Automation Agent: users upload documents, ask natural language questions via a RAG pipeline, and trigger real-world actions (email sending, data logging, reporting) all from one interface.

→ AI Question Generation System: multi-agent system with fallback logic, Arabic language support, vector DB integration, PDF content selection, and Telegram-based parent reporting.

𝐓𝐞𝐜𝐡 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡:
• LLMs: OpenAI API, OpenRouter, Ollama, Hugging Face
• Vector DBs: Pinecone, FAISS, Chroma
• Embeddings: Hugging Face, Jina
• Backend: Node.js, Express.js, NestJS, REST APIs
• Frontend: Next.js, React, Tailwind CSS
• Automation: n8n, Playwright
• Databases: PostgreSQL, MongoDB, MySQL

📩 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐭𝐨 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭!