Hire the Best Legal Assistants
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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.

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!

Title: AI & Python Developer | Local RAG Specialist | Machine Learning Engineer Overview: I am a dedicated Computer Science and Artificial Intelligence student at BSNU with a passion for building secure, high-performance AI solutions. I specialize in bridging the gap between complex algorithms and practical applications. My Core Expertise: Advanced AI & RAG: Specialized in building Local RAG (Retrieval-Augmented Generation) systems. I can deploy private LLMs (like Mistral/Llama) that process your sensitive data locally without external API risks. Machine Learning & Data Mining: Expert in implementing predictive models and extracting actionable insights from complex datasets. Python Ecosystem: Proficient in writing clean, scalable code using LangChain, LlamaCpp, and Streamlit for interactive AI interfaces. Frontend Integration: Skilled in Angular to create responsive dashboards for AI-driven projects. Latest Featured Project: Developed a Local HR AI Assistant that provides accurate answers from internal company policies with zero data leakage and no hallucinations. Working with me: I am detail-oriented, a fast learner, and committed to high-quality code. Payment: I prefer working on a fixed-price basis. Communication: I prefer text/chat to ensure precision and clarity. Let’s build something intelligent and secure together!

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 if it's the right approach and how I'd build it.

Attorneys and executives should be focused on clients, strategy, and billable work not chasing documents, fixing calendar conflicts, following up on missing information, or keeping case files organized. I provide reliable legal operations and executive support to law firms and busy professionals who need someone they can trust with sensitive information, detailed workflows, and client-facing responsibilities. I currently support a New York immigration law office, where I manage day-to-day legal and administrative workflows involving client intake, case documentation, USCIS/EOIR matters, attorney scheduling, billing, payment follow-ups, court and agency communications, and confidential records. My legal experience also includes preparing structured judicial expertise reports for engineering-related disputes and providing Arabic-English interpretation during legal consultations between attorneys and Arabic-speaking clients. How I can support your practice: • Legal & Case Administration: Case organization, document preparation, evidence management, deadline tracking, and attorney support. • Executive & Calendar Support: Complex scheduling, consultation coordination, inbox follow-ups, Zoom meetings, reminders, and daily workflow management. • Client Intake & Communication: Managing inquiries, collecting documents, scheduling consultations, following up with clients, and maintaining professional communication. • Legal Billing & Accounts Follow-Up: Time entries, invoices, payment tracking, billing records, and accounts-receivable follow-ups. • Judicial & Legal Report Preparation: Reviewing large case files, organizing supporting documents, verifying figures and dates, identifying inconsistencies, and drafting structured professional reports. • Arabic-English Legal Interpretation: Real-time interpretation between attorneys and Arabic-speaking clients during consultations and case-related meetings. • CRM & Document Management: Maintaining accurate records across case-management systems, cloud storage, email, spreadsheets, and shared workflows. I work comfortably with MyCase, Google Workspace, Microsoft Office, Excel, Word, Outlook, Dropbox, Zoom, Calendly, CRM systems, and PDF/document-management workflows. What clients can expect from me is simple: clear communication, confidentiality, accuracy, ownership, and reliable follow-through. If you need someone who can step into your operations, understand the workflow quickly, and take administrative pressure off your team, I would be glad to discuss how I can support you.

I am a Senior AI Engineer with 6 years building production AI systems, most of it working directly with American startups. I am a native English speaker, so communication is never a translation layer between me and the client. I do not just prototype AI features. I ship full systems that survive real users, real load, and real edge cases. A few examples: Built a Legal RAG Platform serving 100K+ users in production for 18+ months, cutting support queries by 60% through grounded retrieval instead of hallucinated answers. Designed and owned full AI architecture for a B2B insurance intelligence platform: hybrid vector and keyword search, LangGraph based multi-agent workflows, a Neo4j graph database, and DuckDB pipelines for structured data. Built a 1,024 question LLM as judge evaluation system that took model accuracy from 50% to 80%, so quality is measured, not assumed. Built a Multi-LLM Chatbot Builder, a Chatbase style SaaS supporting OpenAI, Claude, and Gemini with Stripe billing and multi-tenant workspaces. Built voice AI systems (Vapi plus N8N) that handle real inbound calls and book appointments directly into CRMs like GoHighLevel and Mindbody. Full stack: Python, LangChain, LangGraph, LlamaIndex, FastAPI, Next.js, React, TypeScript, PostgreSQL, Pinecone, Weaviate, pgvector, AWS (ECS, Lambda, Bedrock), GCP, Docker, CI/CD. I work independently, own architecture decisions end to end, and communicate directly with weekly progress updates, no middleman, no black box. If you need someone who can take an AI idea and turn it into something reliable enough to run your business on, that is the work I do.