AMR KANDIL
Hey there! I'm Amr, a GenAI Engineer who's genuinely excited about building AI agents that actually solve real problems.
About
Hey there! I’m Amr, a GenAI Engineer who’s genuinely excited about building AI agents that actually solve real problems. Right now, I’m a double master’s in Applied Computer Science and IT & Sustainability while working remotely for Agility Logistics, where I’ve been developing some pretty cool AI solutions—think LLM-powered recommendation systems using GraphRAG, vision-based customs inspection toolsI, as well as an agent for fraud detection.
I love the challenge of getting into a new business domain, get familiar to it, identifying a core business problem or need and then taking cutting-edge technologies like LangGraph and MCP protocol and turning them into practical, working agents that deliver real value.
If you’re looking for someone who can dive deep into the technical details while keeping the end goal in sight, I’d love to chat about how I can help bring your agent project to life.
- 2 years' experience
- Joined January 2026
Skills· 15
Languages
- ArabicFluent
- EnglishAdvanced
- GermanBeginner
Industry experience
- Software & Internet
- Education
- Transportation & Logistics
- Professional Services
Work experience
Architected an agent using LangGraph, RAG and MCP integration to automate document extraction, Customs valuation method verification and analysis, and fraud detection. Developed AI compliance automation system using RAG and GPT-4 Vision to validate shipment documents against international trade regulations. Built LLM-powered recommendation system using GraphRAG that solved cold-start problem for e-commerce platform, enabling personalized product suggestions. Designed an AI powered system that cross-validates cargo images against declared shipment documents. Developed a microservice for HS code classification by product description. Built Python tool to parse Singapore Customs PDFs and extract 6,700+ HS trade codes into structured CSV format.
Built React-based frontend interfaces for blockchain gaming application. Conducted comparative analysis of blockchain data providers (Moralis, ANKR, Covalent, Chainstack) evaluating pricing models, throughput rates, and API compatibility. Built liquidity pool simulation modeling DEX mechanics, LP token distribution, and fee calculations to assess economic attack vectors.
Education
Certifications and awards
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