π 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.
- Raspberry Pi, ESP32-S3
- GPIO, SPI, I2C, UART
- Sensor & camera integration
- Closed-loop control systems
- OpenCV, MediaPipe
- Face detection & recognition
- Image & video processing pipelines
- Feature embeddings & landmark-based methods
- CNNs (AlexNet, ResNet)
- MATLAB Deep Learning Toolbox
- Signal & image preprocessing
- Model evaluation & visualization
- Python, C++, MATLAB
- Docker, Linux
- Git & reproducible workflows
- Clean, maintainable, well-documented code
- 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
- 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
- Fully automated weather data collection using OpenWeatherMap
- Scheduled execution every 60 minutes
- Structured CSV storage
- Dockerized deployment
Tech: Python, Requests, Selenium, Pandas, Docker
- Closed-loop temperature control with hysteresis
- Improved stability & hardware protection
Tech: Raspberry Pi, MAX31865, Python
- Ultrasonic signal acquisition & preprocessing
- Signal-to-image transformation
- CNN-based fault classification
Tech: MATLAB, AlexNet, ResNet
- 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
π M.Sc. Electrical Engineering & Information Technology
Otto von Guericke University Magdeburg, Germany
- πΉ Embedded Software Developer β Devomech Solutions GmbH
- πΉ Working Student Software Engineer β Goldschmidt Smart Rail Solutions
- πΉ Student Research Assistant (Hiwi) β AI-assisted research automation
- πΉ Former Engineer β Pakistan Aeronautical Complex (PAC), Kamra
π LinkedIn: https://www.linkedin.com/in/muhammad-jabbar-373257165/
π» GitHub: https://github.com/Muhammadjabbar123
π Portfolio: https://muhammadjabbar123.github.io/JabbarPortfolio/
β Real-world engineering impact
β Reliable, scalable systems
β Clean and maintainable code
β Bridging embedded hardware with intelligent software