Available for remote engagements worldwide
From data and model training to deployed, monitored APIs: practical AI that solves a real business problem, with clear metrics and clean handover.
Selected work
A flagship edge-AI system plus recent LLM, vision and ML work.
End-to-end RAG system over ~80K Arabic passages in 10 knowledge categories. Every answer cites book, author, and page; the assistant refuses when no relevant source is retrieved. FastAPI, PostgreSQL + pgvector, Celery + Redis.
End-to-End AI platform for classifying blood cell images (+95% accuracy): 17K+ images (8 classes), custom PyTorch CNN, Flask web app, Docker deploy.
Extractive question answering system using Transformer models fine-tuned on the Stanford Question Answering Dataset (SQuAD), with a Flask web interface to ask questions and get answers from context.
Flask service exposing a logistic-regression model trained on match-level statistics to estimate a team's chance of victory, with a reproducible training pipeline, JSON API, and an interactive dashboard.
What I do
From first prototype to a deployed, maintainable system.
From idea to a production-ready AI MVP: scoping, rapid prototype, deploy, and iteration with founders as a technical co-founder-style partner.
Detection, verification, OCR, and real-time vision pipelines for production use cases.
Sentiment analysis, QA, resume screening, and text intelligence systems with practical APIs.
RAG pipelines, multi-agent systems, MCP integrations, and observability-ready LLM apps.
End-to-end AI products: model backend, inference APIs, dashboards, and deployment.
Train, optimize, and integrate ML/DL models with backend APIs and deployment performance in mind.
How I work
A short call to understand the problem, the data you have, constraints and what success looks like.
A focused proof of concept on your data to validate the approach before investing in a full build.
Production APIs, containers and CI/CD, with evaluation and monitoring built in from the start.
Documentation and a clean handover so your team can run and extend the system.
Tech stack
Experience
FAQ
AI MVPs for startups, computer vision, NLP, LLM / RAG / agent systems, ML model training and deployment, and full-stack AI applications - from prototype to production.
Yes. I offer AI MVP development for founders - idea validation and scoping, a rapid prototype, and a production-ready MVP with an AI/ML core, then iteration after launch. I can work as a technical co-founder-style partner, and I am co-founding and building 3 startups myself.
Pricing is scoped per project. After a short intro call I propose a scope, milestones and an estimate.
Cairo, Egypt (UTC+3). That overlaps well with Europe and the Gulf, and I work asynchronously with teams in other time zones.
Yes. I work remotely and have delivered 100+ freelance projects, mainly for clients in Saudi Arabia.
A short description of the problem, any sample data or existing code you can share, and your target timeline.
Next
Based in Cairo (UTC+3), working remotely with teams worldwide.
