Backend AI Engineer · Alexandria, Egypt

Ahmed Eldasoky

I build applied-AI backend systems: API design, data pipelines, and agentic tools with the Model Context Protocol. Currently a Backend AI Engineering intern at FlyRank and a student at E-JUST (Egypt–Japan University of Science and Technology).

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What I build

Agentic AI (MCP)

Lightweight stdio MCP servers and clients over JSON-RPC — tools an agent can call to work with live data.

Backend architecture

FastAPI and Node.js services, PostgreSQL-backed, designed around clean API contracts and observable data pipelines.

Automation & agents

At FlyRank I design and build workflows and personal agents — from weekly brief pipelines to a review-scout agent with a human signoff gate.

Now

FlyRank AI internship

Foundations track: explaining agent vs. workflow from live MCP evidence, building real personal agents, and shipping their documentation alongside this site.

E-JUST studies

Computer science & distributed systems — compressing lectures, learning cloud-native architecture.

Open source

Code lives on GitHub, including the assignments behind the FlyRank work.