Software Engineer based in Aachen, Germany, focused on industrial computer vision, machine vision, image processing, Python, OpenCV, C#, and production-oriented software systems.

I have several years of professional software-development experience in Germany, including work on a camera-based PCB inspection system in a production environment.

My strongest profile is at the intersection of software engineering + computer vision + practical engineering: image processing, camera/optics selection, electronics, production processes, debugging, testing, and technical problem solving.

• Industrial computer vision and image processing
• Python, OpenCV, and C#
• Camera-based inspection systems
• Camera/lens selection for production use
• Field of View (FOV), focal length, working/object distance, and image-resolution considerations
• Software testing, debugging, technical documentation, and production-oriented problem solving
• Electronics, sensors, PCBs, motors, and industrial/automation context

• FastAPI, Django/DRF, REST APIs, SQL/MySQL
• Docker and Linux fundamentals
• Machine Learning and Deep Learning fundamentals
• TensorFlow/Keras and PyTorch in learning and portfolio projects
• C++ and Java at an intermediate/foundation level

• 3D vision and depth-sensing concepts
• C++ for performance-oriented vision software
• High-performance image processing
• Industrial AI application engineering

• Developed and improved software components for a camera-based PCB inspection system.
• Used Python, OpenCV, and C# for image-processing and inspection-related software.
• Developed and tested image-analysis and computer-vision methods for production-related inspection tasks.
• Analyzed detection errors and built reproducible tests to improve reliability.
• Worked with practical PCB-production constraints and technical requirements from the production environment.
• Selected and dimensioned camera/lens configurations for different production conditions, considering parameters such as Field of View, focal length, working distance, sensor characteristics, and required image resolution.
• Combined software development with practical electronics and engineering understanding.

Machine Learning, TensorFlow/Keras, and PyTorch are part of my later study and portfolio work; I do not present them as professional Eurocircuits production experience.

• Developed and maintained web-based applications and internal business tools.
• Worked across backend, frontend, and database components.
• Used PHP, MySQL, JavaScript, HTML, CSS, and structured software-development workflows.

Python/OpenCV-based industrial inspection portfolio project covering preprocessing, defect detection, feature extraction, classical ML baseline, FastAPI inference, dashboard integration, testing, and Docker packaging.

Production-style portfolio project connecting PyTorch training, OpenCV, FastAPI, Django, PostgreSQL, React, and Docker into an end-to-end inspection workflow.

TensorFlow/Keras image-classification project using transfer learning, reproducible training, evaluation metrics, checkpoints, and confusion-matrix analysis.

Computer Vision / Machine Vision
OpenCV, NumPy, image preprocessing, contours, morphology, feature analysis, inspection logic, camera-system fundamentals

Programming
Python, C#, PHP, JavaScript, SQL, C++ (intermediate/foundation), Java (intermediate/foundation)

Backend / Software Engineering
FastAPI, Django/DRF fundamentals, REST APIs, MySQL, Git/GitHub, testing, modular software design

Machine Learning / Deep Learning
scikit-learn, TensorFlow/Keras, PyTorch — practical learning and portfolio-project level

Industrial / Engineering
Electronics, PCBs, microcontrollers, motors, sensors, production processes, automation fundamentals, structured troubleshooting

• Bachelor's degree in Computer Software Technology — Azad University Mahshahr, Iran
  ZAB evaluation available at German bachelor's level.

• Master's studies in Computer Science / Artificial Intelligence — Azad University Dezful, Iran
  Coursework completed successfully; final degree certificate currently unavailable.

• Mathematics / Physics secondary-school background
  Strong mathematical and analytical foundation for algorithmic and engineering problem solving.

• Kaggle Learn — Intro to Machine Learning
• Kaggle Learn — Intermediate Machine Learning
• Kaggle Learn — Intro to Deep Learning
• Practical learning/project experience with TensorFlow/Keras and PyTorch

• Persian: Native
• German: B2+
• English: Professional reading/writing; spoken fluency being actively refreshed

• Email: khedri.hossein@gmail.com
• GitHub: https://github.com/persiaindex
• Location: Aachen, Germany