HELLO, I'M

Saleh Baderah

Computer Engineer · AI / ML Engineer

I build intelligent systems and turn ideas into real-world products.

ABOUT

Computer Engineer focused on AI and practical systems.

Computer Engineer focused on AI, machine learning, and building practical systems. I enjoy turning ideas into real products and have worked across software, data, and hardware-oriented projects.

Currently expanding my skills in Deep Learning and MLOps.

Portrait of Saleh Baderah

Projects

Selected Projects

01AI / Multi-Agent Systems

Siyaq

An AI customer-intelligence platform that unifies interaction history, predicts call intent, and prepares real-time context before an employee answers.

  • LangGraph
  • Supabase
  • FastAPI
Siyaq AI-powered customer-intelligence platform identityAI / Multi-Agent Systems
02AI / ML · IoT Security

CryptoPulse MQTT

A multi-layer security framework for MQTT-based IoT networks combining encrypted communication, RF jamming detection, and AI-based threat analysis.

  • TensorFlow
  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • Arduino R4
  • MQTT
CryptoPulse MQTT multi-layer security frameworkAI / ML · IoT Security

TECHNOLOGIES

Tools I Use

  • Python
  • PyTorch
  • Pandas
  • NumPy
  • C++
  • Arduino
  • Jupyter
  • TensorFlow
  • Scikit-learn
  • N8N
  • Notion
  • OpenCV
  • MediaPipe
  • FastAPI
  • Docker
  • AWS
  • Git

Journey

A path shaped by projects and learning

  1. Taif University

    Computer Engineering

    Built multiple academic projects, including an AI-based graduation project system.

  2. Started Diving into AI & Machine Learning

    Started through KAUST Academy and reached Stages 1 and 2. Continued learning through courses such as the Machine Learning Specialization, built several ML projects, and developed a stroke segmentation project for a university AI course that was deployed on Hugging Face.

  3. COOP Training — ML Engineer

    Built a multi-agent system specialized in generating and working with commercial Saudi contracts for SaaS platform

  4. Deep Learning & MLOps

    Expanding my knowledge through projects, courses, and practical experimentation.