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Moamen Elmasry
FREN

Projects

What I build in the open: courses, tools and public repositories. All of it readable, reusable and improvable.

Active2026

AI Product Testing Course

Learn to evaluate products that embed AI, from your first failing run to a complete evaluation package you could hand to a decision owner.

Testing an AI product has little to do with testing classic software: several answers can be acceptable, and exact comparison no longer holds. This course does not benchmark models; it teaches you to define what "trustworthy" means for a given product, then to prove it. Seven modules, eight solved exercises and a capstone, built for non-engineers who have to sign off an AI system before it ships.

  • Seven progressive modules, eight solved exercises and a capstone: 8 to 12 hours of work
  • No API key, no model, no network connection: Python 3.10, a terminal and two pip packages are enough
  • The through-line: never invent a threshold without documented sign-off; when in doubt, report "Not Ready"

Requirements

  • Python 3.10
  • Terminal
  • Deux paquets pip
Archived2022-2025

YVEA

A startup I co-founded: turning export compliance auditing, manual and opaque, into an AI-driven document analysis engine.

International trade remains one of the last strongholds of administrative opacity. We started with a management interface, then flow analysis showed the bottleneck was elsewhere: in the semantic comparison done by hand, file after file. The product pivoted to an AI orchestration engine. I led it from the first line of specification through to product-market fit, with 50 paying customers and a 200k€ R&D budget.

  • File preparation time down 75 %, time-to-certificate down 40 %
  • 95 % detection of critical non-conformities, cost held between $0.15 and $0.30 per file
  • What I would do differently: bet on proprietary data rather than orchestration, which has become a commodity

Technical stack

  • Next.js
  • Python
  • GPT-4o
  • Azure Document Intelligence