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Availability: Full-time freelancer, 𝟰𝟬+ hours/week, open to long-term collaborations. I’m a Full-Stack & AI Engineer with 10+ years of experience building web and mobile applications and 3+ years of specialized experience in AI and Large Language Models (LLMs). I design, develop, and deploy production-grade platforms, from scalable SaaS dashboards to AI-powered assistants, RAG systems, and voice agents. I work end-to-end: architecture → backend → frontend → cloud deployment, with a focus on clean code, maintainable systems, and high performance. Over the past few years, I’ve delivered solutions that integrate AI/LLM pipelines, vector search, real-time chat, and voice agents for enterprise and startup clients. 🤖 AI & LLM Expertise - MCP Server Development: Designing and integrating custom MCP servers for AI agents, enabling structured tool usage, external system integrations, database querying, and API orchestration. - Fine-Tuning: Persona creation, Q&A systems, and domain-specific models (medical, legal) using Mistral and Llama 3. - Synthetic Dataset Generation: Streamlining LLM training with high-quality datasets. - Evaluation Frameworks: Assessing LLM performance with custom metrics. - Cloud Deployment: Deploying LLMs on AWS and GCP. - AI Agents & Voice Bots: Proficient with LiveKit, Retail AI, OpenAI. - Open-Source Deployment: Expertise deploying models like vLLM on AWS/GCP/RunPod using SkyPilot. 🛠️ 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗧𝗼𝗼𝗹𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 ➜ LLM Tools: LangChain, Langsmith, Langfuse , Hugging Face, Transformers. ➜ Vector Databases: Chroma, FAISS, Pinecone, Qdrant , Opensearch ➜ AI Workflows: Flowise AI, LangFlow, StackAI. 🛠️ 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ➜ Languages & Frameworks: Python, Node.js, ReactJS. ➜ Database Management: MongoDB, MySQL, PostgreSQL , Supabase , FIrebase ➜ Frontend & Backend Integration: Seamlessly connecting APIs and user interfaces. 🌟 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 ➜ Open-Source LLMs: Proficiency in LLAMA 3, Mistral 7B, and Mixtral 8x7B. ➜ Prompt Engineering: Expertise in techniques like Chain of Thought, Few-shot Prompting, and Self-Reflection. ➜ Fast Inference: Implementing high-speed solutions with vLLM . 🌟 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? With over 10 years of experience, I deliver scalable, cutting-edge solutions tailored to your project’s needs. Whether it's advanced AI models, MCP server development, LLM optimization, or full-stack development, I ensure top-notch results every time. Let’s collaborate to bring your ideas to life!

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘀𝗮𝘃𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 $30𝗞–$40𝗞 𝘆𝗲𝗮𝗿𝗹𝘆 𝗯𝘆 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝘀𝗮𝗹𝗲𝘀, 𝗮𝗻𝗱 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 I have partnered with 10+ companies across real estate, healthcare, social media, education, manufacturing, cybersecurity, and enterprise SaaS to deploy production-ready AI agents that handle calls, schedule appointments, and send real-time notifications to owners for important emails. These are fully operational systems running 24/7. 𝐑𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐛𝐲 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲: ➞ 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 — Voice AI receptionist that answers calls and texts 24/7, books appointments, and qualifies leads automatically · Helps businesses stop missing customers, reduce response delays, and free up teams to focus on sales · Trusted by 500+ businesses, with 2M+ conversations handled, 5,000+ appointments booked, $2.5M+ client savings, and 99% uptime. ➞ 𝐇𝐞𝐚𝐥𝐭𝐡 𝐀𝐈 — Built 𝐀𝐈 𝐦𝐞𝐞𝐭𝐢𝐧𝐠𝐬 into appointments and developed an AI agent that listens to consultations, drafts prescriptions for physicians, and generates clear action lists for patients automatically ·𝐩𝐚𝐭𝐢𝐞𝐧𝐭𝐬 𝐬𝐚𝐯𝐞𝐝: 30+ by AI agents through continuous recovery-plan monitoring and early provider alerts when health dropped below the threshold · 𝐝𝐨𝐜𝐭𝐨𝐫 𝐡𝐨𝐮𝐫𝐬 𝐬𝐚𝐯𝐞𝐝: 5/week by reducing prescription-writing and routine documentation time. ➞ 𝐂𝐍𝐂 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧 — AI-powered system that captures images of each finished part, compares them with drawings, and creates smart inspection reports · 𝐒𝐚𝐯𝐞𝐝 15 𝐡𝐨𝐮𝐫𝐬/𝐰𝐞𝐞𝐤 by cutting manual work and reducing errors · Uses computer vision and Claude to make quality checks faster, easier, and more accurate. 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: ✅ 𝐀𝐈 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, OpenAI API, Claude, AWS Bedrock, Vertex AI, MCP Servers ✅ 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: AI Agents, Multi-Agent Frameworks, Agentic Workflows, Workflow Orchestration, Autonomous AI Systems ✅ 𝐕𝐨𝐢𝐜𝐞 & 𝐒𝐩𝐞𝐞𝐜𝐡 𝐀𝐈: Retell AI, OpenAI Realtime API, OpenAI TTS, ElevenLabs, Whisper, Voice AI Agents, Speech-to-Text, Text-to-Speech ✅ 𝐑𝐀𝐆 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐁𝐬: RAG Pipelines, Pinecone, Weaviate, ChromaDB, Azure AI Search, Amazon OpenSearch, Hybrid Search ✅ 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: PDF Parsing, OCR, PO Automation, Document Q&A, ERP Integration, NetSuite, Oracle ✅ 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: LangSmith, Logfire, Phoenix Arize, Deep Eval, LLM Evaluation, Prompt Testing ✅ 𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Prompt Design, Chain-of-Thought, Prompt Chaining, System Prompt Architecture, Prompt Optimization, Structured Outputs, Function Calling. ✅ 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬: GPT-4o, GPT-4 Turbo, GPT-o1, GPT-o3, Claude Sonnet, Claude Opus, Claude Haiku, Gemini 1.5 Pro, Gemini 2.0 Flash, Whisper, ElevenLabs ✅ 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 & 𝐈𝐧𝐟𝐫𝐚: Python, FastAPI, Django, Flask, Docker, Kubernetes, AWS, Azure, GCP, DigitalOcean ✅ 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝: React, Next.js, Streamlit ✅ 𝐃𝐚𝐭𝐚: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Celery, ETL, Data Pipelines ✅ 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Salesforce, NetSuite ERP, Zapier, Make, Slack, MS Teams, Stripe, REST, GraphQL

Most freelancers building AI workflows can't read a CAC chart. Most marketers can't ship a RAG pipeline. I do both — and that combination is what separates production AI from prompt demos. Five years scaling premium media — ELLE Kazakhstan and Harper's Bazaar Kazakhstan to 500K+ monthly visitors, 185% daily traffic growth, page speed from 46 to 96 on Core Web Vitals. Now I build AI workflows for marketing teams who need production tools, not strategy decks. What I build: — RAG systems over your marketing data (helpdesk, sales calls, product docs) for personalized email and chat — n8n and Make workflows connecting your stack to LLMs (Claude API primary) — AI agents for content generation, briefing, A/B test ideation, internal tools — Productionized chatbots and assistants that work at scale, not just in spreadsheets Stack I use daily: Claude (API + Code), n8n, LangChain, Pinecone, HubSpot, Klaviyo. Marketing fundamentals are not bolted on — they're embedded in architecture decisions from day one. Best fit: — Growth-stage SaaS or D2C, 10-50 employees — Head of Growth needs AI tools but engineering is 6 months out — You have data you're not using and want it productized — Project budget $1,500-6,000 fixed or 40-100 hour engagements Not a fit: — Pre-seed teams without revenue or data — "AI strategy decks" requests — Generic chatbot builds under $500 Most freelancers building AI workflows can't read a CAC chart. Most marketers can't ship a RAG pipeline. I do both — and that combination is what separates production AI from prompt demos. Five years scaling premium media — ELLE Kazakhstan and Harper's Bazaar Kazakhstan to 500K+ monthly visitors, 185% daily traffic growth, page speed from 46 to 96 on Core Web Vitals. Now I build AI workflows for marketing teams who need production tools, not strategy decks. What I build: — RAG systems over your marketing data (helpdesk, sales calls, product docs) for personalized email and chat — n8n and Make workflows connecting your stack to LLMs (Claude API primary) — AI agents for content generation, briefing, A/B test ideation, internal tools — Productionized chatbots and assistants that work at scale, not just in spreadsheets Stack I use daily: Claude (API + Code), n8n, LangChain, Pinecone, HubSpot, Klaviyo. Marketing fundamentals are not bolted on — they're embedded in architecture decisions from day one. Best fit: — Growth-stage SaaS or D2C, 10-50 employees — Head of Growth needs AI tools but engineering is 6 months out — You have data you're not using and want it productized — Project budget $1,500-6,000 fixed or 40-100 hour engagements Not a fit: — Pre-seed teams without revenue or data — "AI strategy decks" requests — Generic chatbot builds under $500 What's next — invite me to your job, send a message describing your problem, or book a paid consultation if you want to think through the approach

🤖 AI Automation Expert | 🌟 Driving Efficiency through AI I'm an AI Automation Expert specializing in both code-based and no-code solutions, with a proven track record of delivering efficient, scalable automation systems. I combine technical expertise with practical business acumen to create intelligent solutions that streamline operations and enhance productivity. Key Areas of Expertise: 🧠 AI & Machine Learning: • Proficient in developing custom AI solutions using TensorFlow, PyTorch, and implementing RAG systems for intelligent document processing and analysis. 📝 Language & Text Processing: • Expert in building sophisticated AI agents for complex text extraction and advanced RAG agents. • Highly proficient in LangChain implementation, PyTesseract for OCR, and NLP solutions. ⚡ Automation Development: • Code-based: Python and JavaScript for custom automation solutions • No-code: Advanced workflow automation using Make com, Zapier, and n8n • Integration specialist connecting multiple platforms and APIs 🤝 Communication & Project Management: • Strong focus on clear documentation, regular updates, and maintaining transparent client communication throughout project lifecycle. I specialize in translating complex business requirements into efficient automated solutions, whether through custom code development or no-code platforms. My approach focuses on delivering scalable, maintainable systems that provide immediate value while being future-proof. 💡 Let's discuss how I can help automate and optimize your business processes!

Your team should not waste hours searching documents, answering repeated questions, moving data between tools, or handling workflows manually. I build production-ready AI systems and full-stack web apps that automate that work using RAG, AI agents, Voice AI, MCP, Claude, LangChain, Next.js, and MERN. I combine AI engineering with full-stack development, so you do not need separate people for the AI logic, backend APIs, database, and web interface. I can take your idea from concept to prototype to production deployment. I help businesses build: ➞ AI Chatbots & RAG Systems Custom chatbots trained on documents, PDFs, websites, databases, SOPs, product docs, knowledge bases, or internal company data. I build retrieval systems that provide accurate, source-backed answers and reduce hallucinations. ➞ AI Agents & Workflow Automation AI agents that connect with APIs, CRMs, databases, Google Sheets, Slack, email, calendars, dashboards, and business tools to automate support, sales, admin, reporting, and operations tasks. ➞ Voice AI & Calling Agents Voice AI assistants for booking, customer support, lead qualification, reminders, follow-ups, and internal workflows using real-time voice AI, speech-to-text, and text-to-speech. ➞ MCP & Agentic AI Systems MCP server integrations, tool-using agents, multi-step workflows, function calling, structured outputs, API-connected agents, and agentic systems that work across your existing software stack. ➞ AI-Powered Web Apps & SaaS Full-stack AI apps using Next.js, React, Node.js, Express.js, Python, FastAPI, MongoDB, PostgreSQL, Supabase, and cloud deployment. I build dashboards, portals, admin panels, MVPs, SaaS apps, and internal tools. ➞ Document AI, ML & Computer Vision Systems for extracting, summarizing, classifying, and analyzing PDFs, invoices, forms, reports, contracts, images, videos, and business records. Recent project experience: • RAG chatbots for company documents, websites, databases, and knowledge bases • AI agent workflows for support, operations, lead handling, and reporting • Voice AI assistants for calls, booking, follow-ups, and customer communication • Full-stack AI dashboards using Next.js, React, Python, FastAPI, MongoDB, and PostgreSQL • Document AI pipelines for extraction, summarization, classification, and search • Computer vision and machine learning systems for detection, analytics, and prediction Core Skills & Tech Stack: ✅ LLM Apps & AI Orchestration: LangChain, LangGraph, LlamaIndex, OpenAI API, Claude, Gemini, Llama, Mistral, Hugging Face, AWS Bedrock, Google Vertex AI, MCP Servers, Pydantic AI ✅ RAG, Knowledge Bases & Vector Search: RAG pipelines, semantic search, hybrid search, embeddings, Pinecone, Weaviate, ChromaDB, Qdrant, FAISS, Supabase, PostgreSQL/pgvector ✅ AI Agents & Voice AI: AI agents, agentic workflows, multi-step workflows, tool-calling agents, OpenAI Realtime API, Whisper, OpenAI TTS, ElevenLabs, Retell AI, Twilio, speech-to-text, text-to-speech ✅ Document AI & Prompt Engineering: PDF parsing, OCR, document Q&A, invoice extraction, form processing, summarization, classification, prompt design, structured outputs, JSON mode, function calling ✅ Full-Stack AI Apps: Next.js, React, Node.js, Express.js, MERN stack, TypeScript, JavaScript, Tailwind CSS, Streamlit, SaaS dashboards, admin panels, customer portals ✅ Backend, Data & Deployment: Python, FastAPI, Flask, Django, REST APIs, GraphQL, Docker, Kubernetes, AWS, Azure, GCP, DigitalOcean, PostgreSQL, MongoDB, MySQL, Redis, Supabase, Firebase ✅ Integrations & Automation: HubSpot, Salesforce, Slack, Microsoft Teams, Google Sheets, Zapier, Make, Stripe, webhooks, CRM integrations, ERP integrations, custom API integrations ✅ ML & Computer Vision: PyTorch, TensorFlow, Scikit-learn, XGBoost, OpenCV, YOLO, image classification, object detection, predictive models, recommendation systems, anomaly detection I am a good fit if: • You want an AI system that solves a real business problem, not just a demo • You need an AI chatbot, RAG system, Voice AI agent, MCP integration, or automation workflow • You want a full-stack developer who can build the AI backend and web dashboard • You value clean code, clear communication, and production-ready delivery What you can expect: • Clear project scope before development starts • Fast communication and regular progress updates • Clean, maintainable, production-ready code • Practical AI architecture focused on accuracy, speed, and reliability • End-to-end ownership from idea to deployment If you need an AI chatbot, RAG system, Voice AI agent, MCP integration, LangChain app, Claude/OpenAI integration, Next.js SaaS platform, MERN app, or AI-powered automation tool, send me a message with your idea, data sources, and workflow.

AI engineer. 29 jobs done on Upwork, $10K+ earned, 100% job success rate. What I mostly work on: → Agent systems. LangGraph, custom orchestration, MCP. Used for things like document analysis pipelines and internal company tools. → RAG. Pinecone or pgvector setups. Tuned for production, not just plug-and-play LangChain. → Full AI products. I've shipped paid marketplace apps and multi-agent backends. Real shipped products, not demos. Some recent work I'm proud of: Column Mate. A paid Monday marketplace app I built. Live on the Monday App Store (App ID 10601212). Pricing tiers from $0 to $300 a month. It has 4 features the leading competitor doesn't have, including the only AI Parse Updates feature on the whole marketplace. Auto Blog Automation. An n8n pipeline I built for a client. Cut their article production from about 4 hours per article to under 5 minutes. Publishes to 5 platforms automatically. Business Control Center. I migrated a flat-file JSON system to Postgres for a client. 9 migrations shipped. Dashboard reads under 100ms p95. My main stack: Python, Node.js, FastAPI, PostgreSQL, n8n, OpenAI, Claude, LangChain, LangGraph, MCP, Pinecone, Whisper, ElevenLabs. I'm bilingual, Arabic and English. I handle the full system: auth, billing, infra, all of it. Not just the AI parts. If you want a working system instead of a research notebook, send me what you're trying to build.