Moamen Abdelfattah@mo2men1985545
1
Events attended
1
Submissions made
Egypt
1 year of experience
About me
AI Trainer & AI QA Lead Experience Before building multi-agent symbolic systems, Moamen worked professionally as: • QA AI Trainer Reviewed, corrected, and benchmarked model performance; analyzed model reasoning failures; ensured alignment with evaluation standards; and created systematic quality-control processes. • AI Trainers Team Leader Led and trained teams of AI trainers, set quality benchmarks, created SOPs, and supervised multi-project training pipelines. This experience gave me unique insights into how modern LLMs learn, behave, fail, and improve — knowledge that is now feeding directly into his symbolic engineering innovations. creator of ClaimShield Nano (Rev3.10), a Chrome MV3 extension that performs hybrid on-device + Gemini fact verification with a frozen evidence pipeline. Each verdict is backed by span-level Wikipedia receipts and guarded by a bullet-aware query filter that skips noisy summaries and only hits the web for focused, high-signal evidence—turning everyday reading into a verifiable, source-anchored experience. Experienced D365 Supply Chain Management Support Engineer and Operations Officer with a strong background in supply chain and purchasing operations. Skilled in industrial procurement, curtain walling, facade engineering projects, and EPCM projects. Proven track record in cost reduction and supplier management.
🤓 Latest Submissions
ClaimShield Nano On-Device AI Fact-Checker
ClaimShield Nano is a privacy-first fact-checking assistant that lives directly inside Chrome. It combines Chrome’s built-in Gemini models with the Gemini API to analyze highlighted text, extract the main claim, and assign a verdict: OK, NEEDS_REVIEW, or ABSTAIN. When the user selects text and chooses “Verify with ClaimShield”, the extension runs a local reasoning pass using Chrome’s built-in AI, then optionally calls the Gemini API (via Google AI Studio) in Hybrid mode for a second opinion on harder claims. For each claim, ClaimShield Nano automatically searches Wikipedia, pulls 1–3 relevant articles, and shows them as clear, human-readable sources. The system is explicitly honest about limitations. If the claim is about a very recent event, ClaimShield detects that it is likely beyond the model’s training window, clearly flags “⏳ Model outdated / recent event,” and adds safe pseudo-sources plus a live Google News search link so users can check up-to-date reports themselves. This demonstrates how Gemini models + Google AI Studio + Gemini API can improve information quality without sacrificing privacy. Users keep browsing as usual, select any sentence, right-click Verify with ClaimShield, and immediately see a verdict, confidence score, and sources panel. ClaimShield Nano is a focused, working example of multimodal-ready, explainable AI fact-checking — and a foundation for future agents that will also verify claims in images, screenshots, and long documents.
19 Nov 2025
