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FAJRIAG/README.md

🤖 AI & Generative AI Engineer in Training · 💻 Flutter Developer · 🌐 IoT & Smart City Enthusiast


👨‍💻 About Me

I'm a 6th semester Smart City Information Systems student passionate about building intelligent systems using Artificial Intelligence, Machine Learning, and Generative AI.

I enjoy combining:

  • 🤖 Machine Learning & Deep Learning
  • 🧠 Large Language Models (LLMs) & Generative AI
  • 📱 Flutter mobile development
  • 🔌 IoT & embedded systems (ESP32, Arduino)
  • 🌆 Smart City monitoring systems

🎓 D4 Smart City Information Systems
Politeknik Negeri Indramayu

I focus on building AI systems that solve real-world problems, especially in education, smart city infrastructure, and intelligent automation.


🏅 Professional Certifications

🤖 AI Engineering

IBM AI Engineering Professional Certificate – IBM

Topics covered:

  • Machine Learning with Python
  • Neural Networks
  • Deep Learning
  • PyTorch & TensorFlow
  • Model evaluation

🧠 Generative AI Engineering

IBM Generative AI Engineering Professional Certificate – IBM

Topics covered:

  • Generative AI architectures
  • Transformer models
  • Prompt Engineering
  • LLM fine-tuning
  • RAG (Retrieval Augmented Generation)
  • LangChain AI systems

📊 Machine Learning & Data Science

  • Machine Learning Essentials — University of Pennsylvania
  • Artificial Intelligence Essentials — University of Pennsylvania
  • Statistics for Data Science Essentials — University of Pennsylvania

🤖 AI & Prompt Engineering

  • Introduction to AI — Google
  • Design Prompts for Everyday Work Tasks — Google
  • Start Writing Prompts Like a Pro — Google

🧰 Tech Stack


🧠 Artificial Intelligence

  • Machine Learning (Scikit-learn)
  • Deep Learning (PyTorch, TensorFlow, Keras)
  • CNN & Transfer Learning
  • Natural Language Processing
  • Transformers & LLM
  • RAG pipelines
  • Prompt Engineering

🌐 Backend

  • FastAPI
  • Flask
  • Node.js
  • REST APIs

📱 Mobile Development

  • Flutter
  • Firebase
  • Clean architecture

🔌 IoT Systems

  • ESP32
  • Arduino
  • Node-RED
  • Thingspeak dashboards

🚀 Highlight Projects

Project Stack Description
Nihongo AI – Japanese Learning App Flutter · Speech AI AI-assisted Japanese learning with pronunciation scoring.
Safety Helmet & PPE Detection YOLO · OpenCV · Python Computer vision system detecting helmet & safety vest usage.
Smart City Waste Classification PyTorch · CNN Transfer learning model for automated waste classification.
Pronunciation Scoring API FastAPI · AI models Backend API evaluating speech accuracy for language learning apps.
Smart Room Monitoring ESP32 · Node-RED · Thingspeak IoT system for real-time environment monitoring.

📊 GitHub Stats


📚 Currently Exploring

  • Advanced RAG architectures
  • LLM fine-tuning techniques
  • AI agents & autonomous workflows
  • Smart City analytics using IoT + Machine Learning

🤝 Connect With Me

📍 Location: Indonesia


✨ Fun Bits

  • 🧪 Experimenting with IoT using Wokwi & Tinkercad
  • 🎌 Building AI tools for Japanese language learning
  • 🧠 Curious about modern AI architectures
  • 💬 Motto: "I train AI, and AI trains me."

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