Payam Firouzi

Innovative and results-driven professional with a unique blend of expertise in software testing and development, poised to take on the role of Customer Technical support. Equipped with a proven track record of ensuring software quality and customer satisfaction, I am adept at handling bug reports from valued clients and meticulously categorizing issues for swift resolution. As a reliable bridge between customers and the software development team,.

Computer Vision / Software Developer

Research Assistant: Fraunhofer Sankt Augustin, SCAI Department as Computer Vision researcher in Deep Learning and Machine Learning, Image Processing and Video Processing fields. Computer Vision (CNN, TensorFlow, Keras, Open-CV) Master Thesis: Automatic object tracking and detection using Faster R-CNN based on TensorFlow and Keras with VGG-16 CNN architecture. (Score: 1.0) Develop Object detection with Deep Learning Algorithms. Develop Edge Detection algorithm with Computer Vision.

Student Project: Implementation, simulation, and verification of basic modes of Master Open Core Protocol (OCP) for AXI-OCP Converter. (Score 1.3)

CNN, ANN, SVM, RF algorithms on data in MySQL and MongoDB. Image processing (Open-CV, Python) and Machine Learning (TensorFlow). Develop Automatic fault detector for NDT-Analysis Develop MySQL for an online job portal. 3D-CNN and LSTM deep learning algorithms.

Implement and Testing, Intelligent fault Detection using ANN/CNN within MATLAB and ABAQUS. (Score: 1.0) Simulating Composite sheets, ABAQUS, applying Image/Signal Processing to detect faults. Feed-Forward, back-propagation, Levenberg-Marquardt, Image recognition.

Mechatronics with focus on Machine Learning, Control, and Systems, Sensorics, Actorics, Software Developing.