Jakarea P.

𝐘𝐨𝐮𝐫 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫𝐬 𝐚𝐫𝐞 𝐚𝐬𝐤𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐜𝐡𝐚𝐭𝐛𝐨𝐭 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐫𝐢𝐠𝐡𝐭 𝐧𝐨𝐰 — 𝐚𝐧𝐝 𝐢𝐭'𝐬 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐦𝐚𝐤𝐢𝐧𝐠 𝐮𝐩 𝐚𝐧𝐬𝐰𝐞𝐫𝐬. A generic ChatGPT wrapper doesn't know your return policy, your out-of-stock items, or your actual inventory. It guesses. And in the EU, a chatbot that mishandles customer data isn't just embarrassing — it's a GDPR problem waiting to surface. I'm a Backend Architect (10+ years, Node.js) and AI Integration Engineer with a proven Upwork track record (25+ jobs, 4.6★). I don't just wire up an API key and call it done — I build AI systems that know your store, respect your data, and don't hallucinate answers your customers will act on. 𝐇𝐞𝐫𝐞'𝐬 𝐰𝐡𝐚𝐭 𝐈 𝐟𝐢𝐱 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝: 🔍 𝐒𝐦𝐚𝐫𝐭 𝐒𝐞𝐦𝐚𝐧𝐭𝐢𝐜 𝐒𝐞𝐚𝐫𝐜𝐡 A customer searches "supplements for sensitive stomach" and gets zero results — because keyword search doesn't understand intent. I implement vector search (ChromaDB/pgvector) so your store matches what buyers actually mean, not just what they typed. 🛡️ 𝐆𝐃𝐏𝐑-𝐀𝐰𝐚𝐫𝐞 𝐀𝐈 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 Routing every EU customer message through a public API is a compliance risk most stores haven't audited yet. I design AI workflows — including self-hosted/open-source model paths where needed — built around data minimization and EU data handling, not bolted on after the fact. 🔧 𝐅𝐢𝐱𝐢𝐧𝐠 𝐀𝐈 𝐓𝐡𝐚𝐭'𝐬 𝐀𝐥𝐫𝐞𝐚𝐝𝐲 𝐋𝐢𝐯𝐞 If your chatbot is already recommending discontinued products or inventing return policies, the problem is almost never "the model" — it's retrieval and chunking. I audit existing RAG setups and fix the pipeline so answers stay grounded in your real store data. 📄 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭-𝐀𝐰𝐚𝐫𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡 & 𝐖𝐞𝐥𝐥𝐧𝐞𝐬𝐬 𝐁𝐫𝐚𝐧𝐝𝐬 Ingredient lists, lab results, compliance PDFs — I build AI that reads and answers from your actual regulatory documents accurately, not from a general-knowledge guess. 𝐂𝐨𝐫𝐞 𝐬𝐭𝐚𝐜𝐤: Node.js, Shopify Storefront/Admin APIs, OpenAI/Claude APIs, Python, LangChain, vector databases, open-source LLMs (Llama 3, Qwen) 𝘛𝘦𝘭𝘭 𝘮𝘦 𝘸𝘩𝘢𝘵 𝘺𝘰𝘶𝘳 𝘴𝘵𝘰𝘳𝘦'𝘴 𝘈𝘐 𝘪𝘴 𝘤𝘶𝘳𝘳𝘦𝘯𝘵𝘭𝘺 𝘨𝘦𝘵𝘵𝘪𝘯𝘨 𝘸𝘳𝘰𝘯𝘨 — 𝘰𝘳 𝘸𝘩𝘦𝘳𝘦 𝘺𝘰𝘶'𝘳𝘦 𝘴𝘵𝘢𝘳𝘵𝘪𝘯𝘨 𝘧𝘳𝘰𝘮 𝘴𝘤𝘳𝘢𝘵𝘤𝘩 — 𝘢𝘯𝘥 𝘐'𝘭𝘭 𝘮𝘢𝘱 𝘰𝘶𝘵 𝘵𝘩𝘦 𝘧𝘪𝘹.