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How I Built Production-Grade AI Systems While Still a Student

Nader Al Shawki, a final-year AI Engineering student at Al-Razi University in Yemen, has built several production-grade AI systems including a tomato leaf disease detection platform using YOLOv8 and FastAPI, a pneumonia detection system with PyTorch, and a face detection and emotion recognition system. He is currently learning LLMs, RAG, LangChain, and AI agents.

read1 min views1 publishedJun 16, 2026

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πŸš€ Hello, DEV Community!

I'm Nader Al Shawki, a final-year AI Engineering student at Al-Razi University, Yemen. This is my first post here, and I'm excited to start sharing my journey with this amazing community.

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🎯 Who Am I?

I'm passionate about building production-grade AI systems that solve real-world problems. My main areas of focus are:

  • πŸ–ΌοΈ Computer Vision & Deep Learning
  • πŸ€– ML Model Deployment (Docker, FastAPI, REST APIs)
  • 🧠 LLMs, RAG, and AI Agents (currently learning)
  • πŸ“Š Data Visualization & Analytics (Power BI)

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πŸ’‘ What I've Built So Far

  1. πŸ… Tomato Leaf Disease Detection Platform

Tech: YOLOv8, PyTorch, FastAPI, Docker #

What it does: Detects tomato leaf diseases from images with real-time inference. Containerized with Docker for easy deployment.

  1. 🫁 Pneumonia Detection System

Tech: PyTorch, CNN Architecture, Medical Imaging #

What it does: A deep learning model that detects pneumonia from chest X-ray images.

  1. πŸ“Š Sales Profit Analysis Dashboard

Tech: Power BI, DAX, Data Analysis #

What it does: Interactive dashboard for tracking sales KPIs.

  1. πŸ˜€ Face Detection & Emotion Recognition

Tech: OpenCV, Deep Learning #

What it does: Real-time face detection, age estimation, emotion recognition, and gender classification.

  1. 🍽️ Restaurant Website

Tech: HTML5, CSS3, JavaScript #

What it does: Fully responsive restaurant website with interactive UI.

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🌱 What I'm Currently Learning

LLMs (Large Language Models) #

RAG (Retrieval-Augmented Generation) LangChain & AI Agents

  • Workflow automation with n8n

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πŸ”— Let's Connect

Thanks for reading! I'll be posting regularly about AI projects, tutorials, and lessons learned. Stay tuned! πŸš€

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