Hire the Best Legal Assistants
in Egypt

Your AI project shouldn't break the moment real users hit it. I build AI SaaS platforms that handle 100K+ users, respond in <200ms, and generate real revenue — not demos that fall apart in production. SHIPPED PROJECTS → Legal RAG Platform: Serves 100K+ users, cut support queries 60%, running 18+ months → Multi-LLM Chatbot Builder: Chatbase-style SaaS with OpenAI/Claude/Gemini + Stripe billing → Multi-Tenant AI Agent Platform: Full SaaS with team workspaces, usage tracking, white-label ready → Voice AI Phone System: Vapi + N8N + Mindbody — handles real inbound calls and books appointments → AI CRM Booking System: GoHighLevel + OpenAI integration for automated calendar scheduling → Memory-Evolving Chat: Behavioral adaptation system that learns user patterns over time → AI Research Agent: LangGraph-powered web research with structured output → Vapi Dashboard: Real-time agent monitoring with Supabase + webhooks → CI/CD Pipeline: Full DevOps setup for startup — "the kind of engineer every startup wants" (client quote) → Internal Knowledge Assistants: RAG systems for company documents and support automation --- WHAT I BUILD • AI SaaS Products — Full platforms with auth, billing, dashboards, analytics, multi-tenancy • RAG & LLM Pipelines — Grounded retrieval with Pinecone, Weaviate, Chroma, pgvector • Voice AI & Automation — Vapi agents, N8N workflows, CRM integrations • Production Infrastructure — AWS, Docker, CI/CD pipelines, monitoring FULL STACK AI/LLM: LangChain | LangGraph | LlamaIndex | CrewAI | OpenAI | Claude | Gemini | AWS Bedrock Voice AI: Vapi | Twilio | ElevenLabs Automation: N8N | Make | Zapier Backend: Python | FastAPI | Django | Node.js | Express Frontend: Next.js | React | TypeScript | TailwindCSS Databases: PostgreSQL | Supabase | Redis | MongoDB | Pinecone | Weaviate | Chroma Integrations: Stripe | GoHighLevel | Mindbody | HubSpot | Slack | Resend Cloud/DevOps: AWS (ECS, Lambda, S3, Bedrock, EC2) | GCP | Docker | GitHub Actions | CI/CD HOW I WORK • Direct communication, weekly progress updates • Architecture mapped before code starts

𝗜 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 — 𝗻𝗼𝘁 𝗽𝗿𝗼𝘁𝗼𝘁𝘆𝗽𝗲𝘀. Most AI projects look great in a demo and break when they meet real work. The agent routes to the wrong tool. The RAG retrieves the wrong chunks. The voice latency kills the conversation. The pipeline runs in a notebook but never makes it to production. That's where I come in. In 2 months at a Dubai tech company, I built and deployed 6 production AI services from zero infrastructure. Voice assistants, document tools, RAG pipelines, agent workflows — all live, all on AWS, all monitored with LangSmith. ─────────────────────────── WHAT I'VE SHIPPED ─────────────────────────── ◆ Voice assistant with 7-agent architecture — real-time speech (Deepgram + LiveKit), Text-to-SQL, RAG document Q&A, multi-agent routing via LangGraph ◆ AI Status Reports — optimized 17s → 2.1s, beat the 5-second requirement by 58% ◆ Document Classifier — bulk upload with Gemini 2.0 Flash. $0.0002/doc, 100% accuracy in production testing ◆ COSTRA — 5-agent BOQ extraction (internal tool) — vision models (Claude 4.5 Sonnet, Gemini 3 Pro) extracting data from construction PDFs, exports to Excel/JSON ◆ Medical RAG (graduation research, distinction with honors) — F1: 79.3 / EM: 69.4 on LitQA v2 with hybrid retrieval, cross-encoder reranking, context compression ─────────────────────────── WHAT I BUILD FOR YOU ─────────────────────────── ◆ Multi-Agent Systems — LangGraph, LangChain, tool routing, structured outputs, conditional flows ◆ Voice AI Agents — phone calls (Telnyx), browser-based (LiveKit), real-time STT/TTS (Deepgram, ElevenLabs), Silero VAD ◆ RAG Pipelines — over your documents, databases, and APIs. Hybrid retrieval, reranking, evaluation. ◆ LLM Apps & APIs — Claude, GPT-4, Gemini, Groq, or self-hosted (vLLM, Ollama) ◆ Production Deployment — FastAPI → Docker → AWS (Lambda, EC2, Bedrock) with CI/CD, Caddy reverse proxy, LangSmith monitoring ─────────────────────────── TECH STACK ─────────────────────────── Languages & Frameworks — Python, FastAPI, Flask, Next.js, React Agents & Orchestration — LangGraph, LangChain, multi-agent systems, tool calling RAG & Retrieval — Hybrid retrieval (BM25 + dense), cross-encoder reranking, context compression, chunking strategies Voice AI — Deepgram, LiveKit, Telnyx, ElevenLabs, Silero VAD, Gemini Live API LLMs — Claude, GPT-4, Gemini, Groq, AWS Bedrock, vLLM, Ollama Vector Stores — FAISS, Pinecone, Qdrant, Milvus, Chroma, pgvector Cloud & Infra — AWS (EC2, Lambda, Bedrock, API Gateway, S3, Amplify), Docker, Coolify, CI/CD Observability — LangSmith, Langfuse Backend — PostgreSQL, Supabase, Neo4j AuraDB Automation — n8n, REST APIs, webhooks ─────────────────────────── AWS Certified Cloud Practitioner. Tell me what you're trying to build. I'll tell you honestly if it's the right approach and how I'd build it.

As an organized and proactive professional, I help law firms, attorneys, and busy executives stay completely organized, productive, and stress free. With hands on experience supporting a New York based law office , I specialize in keeping schedules on track, managing client communications, and handling highly confidential documentation. I know that in the legal and corporate worlds, absolute precision is required. I never get bored of high pressure and daily operations; I actually thrive in fast-paced environments. My primary goal is to handle your complex administrative details, manage your CRM, and process your legal billing so you can focus entirely on your core work and billable hours. Here is exactly how I can help you: • Legal Billing & Document Preparation: Handling structured operational documentation and accurate invoicing. • Client Intake & Communication: Managing inbound inquiries and scheduling consultations efficiently. • Calendar & Schedule Management: Coordinating complex schedules and keeping daily tasks on track. • CRM & Data Organization: Maintaining detailed, perfectly organized CRM records. • Workflow Optimization: Assisting in daily operations and creating systems that make your business run smoothly. • Social Media Management: Managing online presence and coordinating digital outreach. Whether you are a managing attorney, a growing law firm, or an executive who requires strict confidentiality and reliability, I am ready to step in, streamline your operations, and bring calm to your workflow.

"AI That Works — From Idea to Deployed Solution" I help startups, small businesses, and research teams turn AI concepts into working, explainable solutions—fast. No endless prototypes. No hype. Just results you can use. What I Build: 🧠 NLP & Chatbots – Q&A assistants, semantic search, summarization, classification. 👁 Computer Vision – Object detection, tracking, document intelligence, and medical imaging. 🔍 Explainable AI – Models that show why they made a decision. ⚙️ AI Apps – Python, Flask/FastAPI, React, API & cloud integrations. Why Clients Work With Me: ✔️ End-to-end delivery — from raw data to deployed MVP. ✔️ Balanced research depth with a “let’s ship it” mindset. ✔️ Clear communication & maintainable code. Recent Projects: LegalMind AI – RAG-based legal reasoning assistant for Egyptian law. NexusRAG – Multimodal PDF knowledge assistant with text & image support. YOLO + DeepSORT – Real-time vehicle tracking. Medical AI – X-ray diagnosis with heatmap explanations. Best Fit For You If: ✅ You want practical, reliable, and explainable AI—not just academic work. ✅ You need a partner who can handle both the tech and deployment. ✅ You have data and a vision—you need someone to make it real. Let’s build AI that works, lasts, and makes an impact.

Are you looking for a reliable AI/ML specialist who can build smart, scalable, and production-ready solutions? I help businesses automate processes, extract valuable insights, and deploy AI-powered applications that drive real-world results. With 3+ years of experience in Artificial Intelligence, Computer Vision, Backend Development, and Web Scraping, I deliver end-to-end solutions—from data collection and model training to backend integration and cloud deployment. ✨ What I Can Do for You: 🔹 Backend Development Build scalable APIs with Python, Django, Flask, and FastAPI Containerization & deployment using Docker Database design & optimization (PostgreSQL, MySQL, MongoDB) 🔹 Web Scraping & Automation Data extraction using BeautifulSoup, Scrapy, Selenium, Playwright Scraping from complex, dynamic websites (JS-heavy pages, infinite scroll, CAPTCHAs) Automating workflows to save time and increase efficiency 🔹 Artificial Intelligence & Computer Vision Deep learning with TensorFlow & PyTorch Real-time object detection (YOLO, OpenCV) OCR & document processing (English + Arabic) Predictive analytics & machine learning models 🔹 Deployment & Scaling Cloud deployment: AWS, GCP, DigitalOcean, Heroku Model serving with FastAPI / Flask + Docker CI/CD pipelines for smooth updates 🌍 Full-Stack Collaboration I work with a trusted team of front-end and mobile experts, meaning we can deliver complete AI-powered applications: from backend + AI models to beautiful user interfaces and mobile apps. Why Clients Hire Me: ✅ Strong AI + Backend expertise (rare skill combo) ✅ Clear communication & fast delivery ✅ Tailored solutions that save costs and boost efficiency ✅ Long-term support after delivery 💡 Let’s Build Something Smart! Whether you need to scrape complex data, train a custom ML model, or integrate AI into your web/mobile app, I can deliver end-to-end intelligent solutions. 📩 Contact me today, and let’s discuss your project!

A seasoned Legal Consultant with over 13 years of experience in providing strategic legal counsel, drafting complex contracts, and efficiently resolving disputes. Specializing in innovative legal solutions that drive business growth, with a strong track record in high-impact negotiations and risk management. Possessing an exceptional ability to analyze cases from a holistic perspective, crafting dynamic legal strategies that ensure compliance while safeguarding business interests. Passionate about bridging the gap between legal requirements and business needs in competitive, fast-paced environments.