Hire the Best Artificial Intelligence Engineers
in Egypt

With 7+ years as an independent freelancer—backed by 2,300+ logged hours, Top-Rated Plus (Top 3%), and 120+ successfully delivered projects on Upwork—I’ve helped 15 SaaS founders and entrepreneurs bring their vision to life by managing the full product lifecycle from idea to launch. As a Senior Agile Business Analyst and Product Manager for SaaS, B2B, and B2C products, I help founders build their vision from 0 → 1 by defining and managing requirements, backlogs, roadmaps, and prioritization (MoSCoW); delivering user research, competitive analysis, market research, user journeys, wireframes, user stories, and acceptance criteria; and more. Then, I move into QA Analyst work to test and validate releases against requirements and specifications. This includes creating test cases and edge cases, reporting bugs, running cross-platform testing (web, iOS, Android), and performing UAT, functional, UX, and performance testing. Finally, I move into technical writing, creating API documentation, building knowledge bases with AI chatbot integration, writing release notes, user guides, and how-to articles, designing annotated screenshots with callouts, and producing demo and walkthrough videos. As a T-shaped engineer with a primary role as an Agile Business Analyst and Product Manager, plus experience as a QA Analyst and Technical Writer, I’m confident I can help you with the following: 🧰 MAIN ROLE: Senior Agile Business Analyst | SaaS & B2B Product Manager ● Business Analysis & Planning: Understand your idea and high-level requirements. Draft market research, competitive analysis, requirements, scope, and UX research. Draft BRDs and PRDs, and use AI to accelerate documentation so I spend less time writing and more time on strategy, prioritization, and validation. ● Product Management: Define the MVP and roadmap. Create the backlog. Draft user stories, acceptance criteria, business rules, prioritization, validations, and data mapping. Create UX wireframes and sketches, and map user flows and journeys. ● Requirements Engineering & Designing: Designing UML diagrams (use case, sequence, activity, context, ERD, DFD), BPMN (levels 1-3), and flowcharts. Support architecture engineers by creating technical and cloud architecture diagrams. Draft high-level and low-level design documents. ✍️ T-SHAPED ROLE: Technical Writer | API Documentation | Knowledge Bases | Walkthrough & Demo Videos ● Technical Writing & Documentation: Write API and developer documentation using a docs-as-code approach (Mintlify, ReadMe, GitBook, etc.). Build knowledge bases and help centers (Intercom, Notion, GitBook, MkDocs, etc.), including AI chatbot integrations. Create how-to articles, user guides, and release notes in weeks, not months. ● Walkthrough & Demo Videos: Create screencasts, feature demos, and walkthrough videos with AI voiceover, callouts, screen recording, on-screen text, and zoom effects. 🪲 T-SHAPED ROLE: QA Analyst | Test Engineer ● QA vs Requirements Validation: Validate new releases against requirements 1:1, flag mismatches, draft AI-assisted test cases to cover gaps, create UAT test plans, and share them with the dev team. ● Manual & Cross-Platform Testing: Perform manual, cross-platform testing across iOS, Android, macOS, Windows, Linux, and web (Chrome, Safari, Firefox, Edge, Brave). Draft AI-assisted test cases and create bug reports (Sequence ID, Title, Description, Priority, Test Status, Progress Status, Test Steps, Expected Result, Screenshots/Recorded Videos). ⚒️ My Tools I use Notion, Jira, Trello, Confluence, Asana, Azure DevOps, ClickUp, Monday, Slack, Miro, Figma, Claude, ChatGPT, Gemini, Draw io, Lucidchart, Visio, FigJam, Google Workspace, Microsoft 365, Swagger, ReadMe, GitBook, Intercom, MkDocs, Nextra, and Fumadocs. Let’s work together to shape your product faster, clearer, and more effectively. Send me a message, and I’ll be more than happy to help. Best regards, Abdelrahman Ragab

I'm a Junior Artificial Intelligence Engineer with a strong foundation in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision. I am committed to transforming data into intelligent solutions that address real-world challenges. In my early career, I've gained valuable experience working on a range of projects, from developing diagnostic tools for medical imaging to creating NLP models for language translation and sentiment analysis. My focus is on building and contributing to AI systems that solve complex problems and drive innovation. My technical expertise includes: Machine Learning: Skilled in building predictive models, optimizing algorithms, and deploying scalable solutions. Deep Learning: Proficient in designing and training neural networks for tasks like image recognition, object detection, and speech processing. Natural Language Processing (NLP): Experienced in developing models for text classification, translation, sentiment analysis, and more. Computer Vision: Expert in image processing, image recognition, image segmentation, and object detection with hands-on experience in using YOLO, TensorFlow, and OpenCV. Whether you're looking to develop a cutting-edge AI application, enhance your existing systems, or explore new AI-driven opportunities, I'm here to help. I'm dedicated to delivering high-quality, impactful solutions that align with your goals. Let’s connect and explore how I can contribute to your next project!

Most AI freelancers build demos. I build systems that ship. 🚀 I'm a Full-Stack AI Engineer with a B.Sc. in Artificial Intelligence and I specialize in one thing: turning complex AI problems into production-ready solutions that scale. From day one, I own the full stack: data ingestion, model architecture, evaluation, API development, containerization, and deployment. No handoffs. No gaps. Just a complete system, built right. 🎯 What I engineer: 🤖 ML & Deep Learning custom model training, fine-tuning, forecasting, classification (TensorFlow, PyTorch) 🧠 LLMs & NLP RAG pipelines, semantic search, document intelligence, agentic systems (LangChain, OpenAI API) 👁️ Computer Vision & OCR detection, segmentation, document parsing at scale ⚡ Production AI APIs high-performance FastAPI/Flask backends, Dockerized and deployment-ready 🔄 Intelligent Automation AI-driven decision systems built for real business logic 🛠️ Stack: Python · PyTorch · TensorFlow · LangChain · OpenAI API · FastAPI · Docker · HuggingFace · OpenCV I don't do experiments. I build things that work reliably, efficiently, and exactly to spec. ✅ If your project demands serious AI engineering, I'm the engineer you're looking for. 💼

I'm a software engineer who helps teams turn ideas into dependable products. I enjoy breaking down complex problems, aligning on goals, and delivering solutions that create measurable impact. I start with the business context and user needs, then design systems that are clear, maintainable, and easy to evolve. I value reliability, performance, and thoughtful UX, and I like building tools that make teams faster and customers happier. I have experience taking work from architecture and implementation through deployment and iteration, keeping quality high along the way.

I'm from the founding team of midash.ai, an AI trading and investment platform that runs personalized AI agents, backed by Google for Startups and the Dubai International Financial Centre (DIFC). Due to increased demand in this space, we're launching customized B2B solutions and services for professionals. We'd be delighted to set up a call with me and our CEO to discuss your use case and how we can help you develop it. We deliver end to end: design, build, and deployment. You don't need your own infrastructure or DevOps team. We offer our own managed hosting, so your system goes live on infrastructure we operate and maintain, the same way we run our own platform in production. From the first architecture call to a running system, everything stays with one team. What we've already built and can build for you: - Strategy design and backtesting: we design trading strategies and test them against historical data with realistic execution modeling before any capital is at risk. - AI trading agents and analysis: LLM-driven agents that analyze market trends using fundamental and non-fundamental data (volume, short interest, news sentiment), with multi-API data pipelines feeding them. We've also built autonomous agents that take a strategy and execute it end to end, monitoring the market and acting on their own. - Broker connectivity: production-grade integrations with trading APIs (Interactive Brokers and others), with a proven blueprint for connecting to virtually any broker: order execution, historical data retrieval, real-time streaming, and account management. - Market scanners and alerts: real-time screening across large universes of instruments, with custom criteria and instant notifications. - Custom platforms: each of these exists as a battle-tested module in our platform. You're not paying us to figure it out from scratch, you're getting working blueprints and faster delivery because we've already solved these problems in production. - This is premium work: a team that operates a live fintech product, senior engineers on your project, and consulting-level judgment on architecture and approach, not a developer learning your domain on your budget. Beyond fintech, I bring 2+ years in AI/ML engineering: production web apps, AI-integrated systems, and 50+ tool integrations across platforms. If your project needs to scale, automate, or ship reliably, that's where we work best. Let's talk about what you're building.

AI Engineer | Robotics & Intelligent Systems Specialist | Full-Stack Innovator I hold a B.Sc. in Artificial Intelligence (Robotics & Intelligent Systems major) with consistent placement on the Dean’s List (GPA 3.6/4.0). My expertise combines deep AI knowledge with practical implementation in robotics, intelligent systems, and scalable software. Core Competencies: • AI/ML: Machine Learning, Deep Learning, NLP, Reinforcement Learning, Computer Vision • Programming: Python, C/C++, SQL, Dart • Frameworks & Tools: TensorFlow, PyTorch, ROS/ROS2, LangChain, FastAPI, Docker, AWS, GCP • Specialization: AI system design, RAG chatbots, robotics automation, smart home systems Key Projects: • Graduation Project (B.E.M.O.) – Developed an intelligent desk assistant robot using Python, LangChain, Gemini LLM, OpenCV, and FastAPI. • Quadruped Robot “Doggy” – Implemented reinforcement learning for autonomous navigation and adaptation. • RAG-based AI Chatbots – Built multimodal and company-specific retrieval-augmented generation systems using PostgreSQL, Faiss, and LangChain. • ICPC/ACPC SysOps Team – Deployed NLP models on cloud infrastructure to optimize contest management and real-time data processing. Recognition: • National scholarship recipient in Generative AI (DEPI, MCIT). • AI Engineer Intern at eSpace, developing production-ready RAG chatbots. I excel at bridging research and production—delivering AI solutions that are innovative, efficient, and scalable.