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  • Otto von Guericke University
  • Magdeburg
  • 11:59 (UTC -12:00)

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Muhammadjabbar123/README.md

πŸ‘‹ Hi, I’m Muhammad Jabbar

πŸš€ Software Engineer | Embedded Systems | Computer Vision | Machine Learning

I am a Software Engineer with a strong foundation in Electrical Engineering & Information Technology, currently pursuing my M.Sc. at Otto von Guericke University Magdeburg, Germany.
I specialize in building robust, real-world systems that connect embedded hardware, data pipelines, and applied AI.

I enjoy transforming raw signals, sensor data, and images into reliable, production-ready software solutions.


🧠 Core Skills & Technologies

πŸ”§ Embedded Systems

  • Raspberry Pi, ESP32-S3
  • GPIO, SPI, I2C, UART
  • Sensor & camera integration
  • Closed-loop control systems

πŸ‘οΈ Computer Vision

  • OpenCV, MediaPipe
  • Face detection & recognition
  • Image & video processing pipelines
  • Feature embeddings & landmark-based methods

πŸ€– Machine Learning & AI

  • CNNs (AlexNet, ResNet)
  • MATLAB Deep Learning Toolbox
  • Signal & image preprocessing
  • Model evaluation & visualization

πŸ’» Software Engineering

  • Python, C++, MATLAB
  • Docker, Linux
  • Git & reproducible workflows
  • Clean, maintainable, well-documented code

πŸš€ Featured Projects

πŸ”Ή Face Recognition Pipeline (Images & Video)

  • End-to-end face recognition using embedding-based identity vectors
  • Custom dataset generation from video frames
  • Alternative MediaPipe Face Mesh recognition approach
  • Robust evaluation under pose & illumination changes

Tech: Python, OpenCV, MediaPipe, Hugging Face


πŸ”Ή Desktop Image Editor & Bluetooth Transfer (ESP32-S3)

  • Python desktop application for advanced image editing
  • Cropping, resizing, overlays, RGB conversion, zoom & composition
  • Wireless Bluetooth transmission to ESP32-S3

Tech: PyQt5, OpenCV, Pillow, SimplePyBLE


πŸ”Ή Automated Weather Data Pipeline

  • Fully automated weather data collection using OpenWeatherMap
  • Scheduled execution every 60 minutes
  • Structured CSV storage
  • Dockerized deployment

Tech: Python, Requests, Selenium, Pandas, Docker


πŸ”Ή Temperature Control System (Raspberry Pi)

  • Closed-loop temperature control with hysteresis
  • Improved stability & hardware protection

Tech: Raspberry Pi, MAX31865, Python


πŸ”Ή Railway Track Fault Detection (Ultrasonic + CNNs)

  • Ultrasonic signal acquisition & preprocessing
  • Signal-to-image transformation
  • CNN-based fault classification

Tech: MATLAB, AlexNet, ResNet


πŸ”Ή LLM-Assisted Literature Survey Automation

  • Automated collection from IEEE, ACM & ScienceDirect
  • Unified dataset & deduplication (~8,000 papers)
  • LLM-based relevance filtering β†’ 24 key studies

Tech: Python, OpenAI API, data engineering


πŸŽ“ Education

πŸŽ“ M.Sc. Electrical Engineering & Information Technology
Otto von Guericke University Magdeburg, Germany


πŸ’Ό Experience Snapshot

  • πŸ”Ή Embedded Software Developer β€” Devomech Solutions GmbH
  • πŸ”Ή Working Student Software Engineer β€” Goldschmidt Smart Rail Solutions
  • πŸ”Ή Student Research Assistant (Hiwi) β€” AI-assisted research automation
  • πŸ”Ή Former Engineer β€” Pakistan Aeronautical Complex (PAC), Kamra

🌍 Let’s Connect

πŸ”— LinkedIn: https://www.linkedin.com/in/muhammad-jabbar-373257165/
πŸ’» GitHub: https://github.com/Muhammadjabbar123
🌐 Portfolio: https://muhammadjabbar123.github.io/JabbarPortfolio/


⚑ What Drives Me

βœ” Real-world engineering impact
βœ” Reliable, scalable systems
βœ” Clean and maintainable code
βœ” Bridging embedded hardware with intelligent software

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