Artificial Intelligence Consultant
Helping companies and enterprises adopt practical, private, and production-ready AI

I advise companies and enterprises on AI strategy, architecture, adoption, and delivery. I help decision-makers identify high-value opportunities, assess technical feasibility, manage risk, and turn AI initiatives into secure, production-ready solutions.

My consulting focus is private, offline AI: local LLMs and RAG, multilingual speech pipelines (STT → translation → TTS), OCR, edge inference, computer vision, and robotics. I evaluate each solution against business value, performance, security, maintainability, and total cost of ownership.

• 🧭 AI strategy and roadmaps aligned with measurable business outcomes
• 🏢 Enterprise AI adoption, from readiness assessment to production planning
• 🔒 Private and on-premises AI for organizations with strict security and data-sovereignty requirements
• 🧠 Solution architecture for local LLMs, RAG, OCR, speech, computer vision, and robotics
• ⚖️ Technology and vendor evaluation based on capability, risk, maintainability, and total cost of ownership
• 🤝 Executive and technical advisory that connects business leadership with delivery teams

These games give robots and LLM agents a place to learn and play.

Each project is a self-contained 3D environment with a machine-facing control API. An agent can observe the state, query available actions, and act. This makes the games useful for testing perception, decision-making, and task execution in software before moving to physical hardware. Humans can play too, but they are the secondary audience.

Both run fully offline and support browser, desktop (Tauri), and mobile targets.

Groundwork for the offline voice pipeline:

Package	What it is	Downloads
@codejq/react-simple-snackbar	Modernized React snackbar with React 16.8–19 support, TypeScript types, and flexible positioning
EPPlus.Core.CoreCompat	Cross-platform Excel generation and reading on modern .NET runtimes
ImageProcessor.Core.CoreCompat	Fluent image processing — resize, crop, filters, watermarking, format conversion

Also maintained or adapted:

• OpenFace-3.0 — facial landmarks, action units, eye gaze, and emotion recognition
• Common-PrintServer — direct browser-to-printer server
• go-whatsapp-web-multidevice — WhatsApp multi-device gateway

• Offline AI voice translation for a government agency — fully on-premises speech recognition, translation, and voice output; no sensitive data leaves the network
• Modular multi-tenant ERP — accounting, invoicing, inventory, assets, projects, HR/payroll, clinics and configurable industry modules
• Enterprise RAG + OCR knowledge platform — Arabic/English OCR, multilingual embeddings, Qdrant vector search, locally hosted models, retryable ingestion
• National training portals — public-sector learning platforms serving 10,000+ users across authentication, courses, enrollment, attendance, and reporting
• Computer vision & access control — facial recognition, biometrics, and camera integrations tuned for real-time production accuracy
• Performance engineering — redesigned a MongoDB aggregation over ~10M documents from ~43 minutes to ~46 seconds

• M. A. El-Sayed, A. B. Ibrahim — Gender Identification Using 3D Touch Sensor, IEEE 3ICT 2018. 10.1109/3ICT.2018.8855776

• MSc Computer Science — Optics, Image, Vision & Multimedia · Université Paris-Est Créteil (UPEC), France
• BSc Physics — Minya University, Egypt
• Professional Scrum Product Owner · Deep Learning AI · Google Project Management Professional

Available for AI consulting and enterprise advisory engagements.