Amir H.

𝐌𝐨𝐬𝐭 𝐀𝐈 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐟𝐚𝐢𝐥 𝐰𝐡𝐞𝐧 𝐭𝐡𝐞𝐲 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐰𝐨𝐫𝐤 𝐢𝐧𝐬𝐢𝐝𝐞 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬. I design and build LLM-powered systems that automate business operations using RAG, AI agents, and custom backends. The goal is simple: reduce manual work, fit into how your team already operates, and build something people actually use day to day. 𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝: - AI automation systems for business workflows - AI agents for support, operations, and internal tools - RAG-based knowledge systems connected to docs, PDFs, or databases - Chatbots that can take real actions, not just answer questions - Backend systems for LLM-powered applications, including APIs and integrations 𝐖𝐡𝐞𝐧 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐮𝐬𝐮𝐚𝐥𝐥𝐲 𝐫𝐞𝐚𝐜𝐡 𝐨𝐮𝐭: - When repetitive manual processes are slowing things down - When internal knowledge is scattered or hard to access - When support or operations need automation - When they want to add real AI functionality into an existing product - When previous AI solutions did not work in real-world usage 𝐇𝐨𝐰 𝐈 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬: I focus on building systems that work in practice, not just demos. That means designing around your actual workflows, keeping the backend clean and maintainable, and making sure everything integrates properly with your tools and data. I also prioritize clear communication and iterative delivery. Most AI projects fail because of execution, not because the technology is lacking. My focus is making sure what we build actually works reliably once it is deployed. 𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: LLMs and AI tools include OpenAI, Claude, Gemini, and Llama Frameworks include LangChain and LangGraph Vector databases include Pinecone, FAISS, and Chroma Backend development with Python, FastAPI, Flask, and Django Infrastructure and integrations using Docker, APIs, and AWS 𝐑𝐞𝐜𝐞𝐧𝐭 𝐰𝐨𝐫𝐤 - AI agents built for workflow automation - RAG systems connected to company knowledge bases - NLP-based clustering and data processing systems - Fixing and deploying dialogue systems - Personalization systems and machine learning pipelines If you are building something with AI, or trying to figure out the right way to approach it, feel free to message me with your use case. I can help you scope it properly and turn it into something that actually works. 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 AI Engineer, LLM Engineer, Generative AI, AI Automation, AI Agents, Chatbot Development, RAG, Retrieval Augmented Generation, OpenAI API, Claude API, Gemini API, Llama, LangChain, LangGraph, Python, FastAPI, Backend Development, API Integration, Workflow Automation, NLP, Semantic Search, Vector Database, Pinecone, FAISS, ChromaDB, Knowledge Base Chatbot, PDF Chatbot, Embeddings, ML Pipeline, AI SaaS Development