Hire the Best Sphinx Specialists in Casablanca, MA

I've built AI systems for a Stellantis MEA division, cut $35K in ops costs for a health clinic, and deployed an AI cold-caller that books meetings autonomously for RE/MAX at 100+ calls/day. From Fortune 500 divisions to fast-growing startups across the US, Europe, and the UAE, I design production-grade AI architecture that actually holds together. I'm Imad Ghazaz, AI Systems Architect and Industrial Engineer. I build agentic pipelines, RAG systems, voice AI, and end-to-end business automation, the kind of infrastructure that scales your operations without scaling your headcount. What I've built: → Designed and deployed an agentic RAG system for a Stellantis MEA quality division replacing manual audit processes across multiple document types, reducing review cycles from days to minutes → Built an AI cold-caller for RE/MAX that autonomously dials 100+ leads/day and books meetings saving 60+ hours/week of sales rep time → Engineered a lead generation system producing multiple qualified leads/day for a B2B growth agency using intelligent pipelines → Cut $35K in annual operational costs for Evexiya (health & wellness clinic) through full ops automation How I work: I don't start by recommending tools. I start by mapping your operations (lead to delivery) and identifying exactly where AI creates leverage. From there I design the architecture, then build and deploy it. Most engagements follow this structure: - Operations audit & AI opportunity mapping - Architecture design: agent logic, data flows, integration points - Build & deploy: production-ready, not prototype - Handoff with documentation your team can actually use My stack: AI & Agents - LangGraph · LangChain · LlamaIndex · OpenAI · Claude · Whisper · ElevenLabs RAG & Data - Vector DBs (Databricks, Pinecone, ChromaDB) · Supabase · Airtable · PostgreSQL Automation & Backend - n8n · Make · Node.js · Python · REST APIs · Webhooks Integrations - CRM (HighLevel, Zoho, HubSpot) · Stripe · Notion · Google Workspace · WhatsApp (Woztell) Voice & Conversational AI - AI Callers · WhatsApp Agents · Chatbot Architecture · Multi-turn Memory Systems

AI Agent Developer specializing in Claude API, MCP servers, and secure RAG systems that run real business operations — not demos. Anthropic-certified, Top Rated, 100% Job Success. Most companies don't have an AI problem. They have an operations problem: teams burning hours on document processing, lead qualification, reporting, and moving data between systems — and "chatbots" that stop at answering questions. I build AI agents that take action: they reason, use tools through MCP servers, access your company knowledge through RAG, and execute complete workflows with human approval gates where it matters. WHAT I BUILD - Claude API & MCP integrations — agents that act inside your CRM, ERP, WhatsApp, Slack, email, and internal systems - Multi-agent systems — specialized agents collaborating on complex processes (LangGraph, CrewAI, Agno) - Secure & on-premise RAG — for organizations where privacy and compliance are non-negotiable - AI workflow automation — n8n + Claude pipelines with approval steps, logging, and audit trails PROOF, NOT PROMISES - National pension fund (regulated financial institution): production RAG assistant on a 168-document knowledge base, deployed across 5 channels. Passed a full security audit — including jailbreak and guardrail-bypass testing — before go-live. Zero hallucinated answers reaching users. - Supply Chain Operations Copilot: AI platform monitoring inventory, suppliers, and procurement risk; creates Purchase Orders, routes them through human approval, submits approved orders to SAP via API. - Autonomous lead qualification platform: captures, enriches, scores, and syncs leads to Zoho CRM using LLM reasoning + business rules. WHY CLIENTS PICK ME ✓ Production-first architecture — approvals, audit logs, monitoring from day one ✓ Anthropic-certified (Claude Code in Action; Building with the Claude API) ✓ Secure deployments: cloud, hybrid, or fully local (Ollama, Mistral, Llama) ✓ You own the code, prompts, and architecture — no vendor lock-in ✓ Master's in Machine Learning & Computer Vision ✓ I work in English and French / Je travaille aussi en français HOW WE START Tell me the workflow that eats the most hours in your week. I'll map it and give you the fastest path to a production-ready AI system — with a fixed scope and price for the first milestone. Skills: AI Agent Developer, Claude API, MCP Server Development, Anthropic Claude, Agentic AI, Multi-Agent Systems, RAG Pipeline, Secure AI, On-Premise AI, LangGraph, CrewAI, n8n, AI Workflow Automation, FastAPI, Python, LLM Engineer, Enterprise RAG, Prompt Engineering

LLM Engineer and Generative AI Specialist with 8+ years of experience building AI automations, chatbots, RAG systems, and AI agents for real-world business applications. I design and deploy production-ready LLM applications using LangChain, LlamaIndex, OpenAI APIs, and vector databases like Pinecone, Weaviate, and Qdrant. My focus is on delivering reliable, scalable, and high-accuracy AI solutions. 🔹 What I can help you build • LLM-powered applications (GPT, Claude, open-source LLMs) • RAG (Retrieval-Augmented Generation) systems for private data • Use OpenClaw (ClawdBot) to build AI automation workflows • AI chatbots for customer support, legal, medical, or business use • AI agents and multi-step autonomous workflows • Semantic search engines and embeddings pipelines • Prompt engineering and LLM optimization • Fine-tuning LLMs with HuggingFace • Open-source LLM setup with vLLM or Ollama • AI automation and RPA with UiPath 🔹 Technical Stack • LLMs & GenAI: OpenAI, Claude, HuggingFace, LangChain, LlamaIndex • Vector DBs: Pinecone, Weaviate, FAISS • NLP: SpaCy, NLTK, BERT, AraBERT, Gensim • Backend: Python, FastAPI, Flask • Databases: MongoDB, MySQL, Elasticsearch • Deployment: Docker, server deployment, Replicate (Cog) • RPA: UiPath (Certified Advanced Developer) 🔹 Selected GenAI Projects AI Agent Planner & Executor : Built an AI agent capable of handling complex multi-step tasks using function calling, planning, and self-evaluation for reliable results. RAG Document Search System : Developed a RAG system for PDFs, DOCX, and PPTX files with access control and department-based retrieval using Weaviate. SQL AI Assistant (SQLytics) : Created an LLM-powered tool that converts natural language into SQL queries and retrieves accurate database insights. Legal AI Chatbot : Built a chatbot connected to legal database with source-backed answers via text and voice. 🔹 Why work with me? • Production-ready AI solutions (not just prototypes) • Vibe coder: using Cursor AI and Claude Code • Clean, scalable architecture • Strong communication and reliability • Focus on real business value If you need a serious LLM/GenAI expert to build high-quality AI solutions, I’d be glad to help.

I build production AI systems, full-stack products, and the infrastructure that ships them: RAG pipelines with cited answers, tool-using AI agents, and Next.js/FastAPI applications deployed with Docker, CI/CD, and cloud infrastructure. Not demos, not one-off scripts, systems built to run. AI Engineering RAG systems your customers can trust: documents chunked, embedded (pgvector, Pinecone, ChromaDB, Weaviate), answers grounded in your sources with citations, "I don't know" instead of hallucinations. AI agents that do work, not chat: stateful, tool-using LangChain/LangGraph agents with multi-step reasoning, retries, and guardrails. LLM integration via OpenAI and Anthropic Claude APIs, function calling, structured outputs, prompt engineering, MCP. Full-Stack Development Frontend: React, Next.js (App Router), TypeScript, TailwindCSS, shadcn/ui. Backend: FastAPI, Node.js, NestJS, Express, REST APIs, GraphQL. Databases: PostgreSQL, MySQL, MongoDB, Redis. DevOps & Deployment Docker, AWS (EC2, S3, Lambda), CI/CD pipelines with GitHub Actions, Git, production monitoring. Experience running data services and dashboards on business-critical systems live 24/7. How I work: every engagement starts with a small fixed milestone and written acceptance criteria, "Done = your team asks a question and gets a cited answer from your own documents," so you see working software in days and we both know where "good" ends. Recent proof: Lexicon, a RAG document assistant, Next.js 14 + FastAPI + vector store, live demo AI Engineer at stonfa.ai: built full-stack features end to end with RAG pipelines, autonomous agents, and real-time LLM streaming, from proof of concept to production in days (React, Next.js, TypeScript, OpenAI API, LangChain) Software Engineer at Capgemini: production Python/FastAPI data services on business-critical systems running 24/7, automated workflows that cut processing time 40%, CI/CD pipelines with Docker and GitHub Actions 5.0★ full-stack Next.js portal, delivered May 2026, "dedicated and works very detailed" Portfolio: AI-powered industrial anomaly management platform (full-stack), automated support-ticket drafting with AI Stack: LangChain · LangGraph · RAG · OpenAI API · Claude API · MCP · Vector Databases (pgvector, Pinecone, ChromaDB, Weaviate) · Prompt Engineering · React · Next.js · TypeScript · TailwindCSS · Node.js · NestJS · FastAPI · PostgreSQL · MongoDB · Redis · Docker · AWS · CI/CD · Git Tell me what you're building, AI, full-stack, or the infrastructure behind it, and I'll reply with a clear plan and a first milestone.

I transform standard Drupal websites into intelligent, automated digital platforms. By combining cutting-edge AI architecture with native Drupal workflows, I help businesses automate operations and deliver highly personalized user experiences. • 🤖 Enterprise LLM Integration – Turn your website into an intelligent hub by seamlessly connecting elite models like OpenAI, Claude, Gemini, and Mistral via high-performance APIs tailored to your traffic needs. • 📚 Context-Aware RAG Systems – Eliminate generic AI hallucinations. I build custom Retrieval-Augmented Generation (RAG) pipelines that empower AI to answer user queries using only your secure, company-specific knowledge base. • ⚙️ Autonomous Drupal AI Agents – Put your editorial and operational workflows on autopilot. I develop self-managing AI agents capable of securely reading, generating, and updating Drupal nodes based on real-time triggers.