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Achievement: Pull Sharkx3Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLO

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YosifElessawi/README.md

Youssof Elessawy

AI Engineer & Software Architect
🇪🇬 Alexandria, Egypt  |  🎯 GCP Professional Cloud Architect (In Progress)

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Agentic-Native Engineer with a deep foundation in scalable full-stack architecture. I specialize in designing stateful, multi-turn AI systems (ReAct, Router Pattern) that autonomously execute complex, real-world orchestration. By architecting the entire stack—from vector databases (pgvector) to highly concurrent asynchronous backends (FastAPI, Node.js)—I ensure that cutting-edge AI features are seamlessly integrated into robust production applications, not just isolated sandbox scripts.

🧠 What I Deliver

I go beyond prototyping to engineer reliable, end-to-end AI systems. My expertise spans the entire engineering lifecycle: I architect, securely deploy, rigorously test, and continually monitor autonomous agents to guarantee high-accuracy performance at scale.

🤖  Agentic AI     →  ReAct agents, Router Pattern, Human-in-the-Loop, Gemini Computer Use
🔍  RAG Pipelines  →  pgvector, hybrid search, semantic deduplication
📈  Observability  →  Evaluation datasets, LLM benchmarking, Logfire telemetry
⚡  Event-Driven   →  Async microservices, queuing, multi-model API orchestration
🖥️  Full-Stack     →  FastAPI, NestJS, Next.js 15 (App Router), Electron (offline-first)
☁️  Cloud & Ops    →  GCP, Docker, Terraform, CI/CD automated deployment pipelines

⚙️ Core Technologies

AI & Data

Backend & Cloud

Frontend, Desktop & Languages

📫 Let's Connect

 

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  1. ticket_agent ticket_agent Public

    AI ticket routing system using a Router Agent pattern — classifies support tickets via RAG (pgvector) and routes to specialized T1/T2 agents or human review (HITL)

    Python

  2. Food-Ordering-Agent Food-Ordering-Agent Public

    WhatsApp AI commerce bot with a state-machine order flow (Menu → Selection → Checkout), powered by local Llama 3.1 via Ollama and PydanticAI

    Python

  3. Franco-Prompt Franco-Prompt Public

    VS Code extension that translates Franco-Arabic mixed-language prompts into high-quality English using PydanticAI + Gemini Pro, with Logfire observability

    TypeScript

  4. Fullstack_Auth_Module Fullstack_Auth_Module Public

    Production-ready full-stack authentication module with OAuth2, JWT, and role-based access control — Next.js 15 +NestJS

    TypeScript

  5. Fastapi-Next-Auth Fastapi-Next-Auth Public

    Production-ready full-stack authentication module with OAuth2, JWT, and role-based access control — Next.js 15 + FastAPI

    Python