Mohammad Gitizadeh

• Implementing deep learning networks from scratch for forecasting time series on control systems (Recurrent Neural Network, Long-Short Term Memory, TensorFlow, NumPy, SciPy, Matplotlib, Pandas) • Signal processing with noise reduction techniques (Savitzky-Golay filter, LMSE) • “Big data” preparation and preprocessing for machine learning (JSON, Pandas, SciKit-learn) • Managing Docker containers for application deployment and scalability

• Implementing an object detection and segmentation techniques for aerial images using deep learning approaches (Region-based CNN, UNET, OpenCV, CUDA, GPU acceleration) • Data preparation for computer vision (JSON, Metadata, TIFF-Data, QGIS) • Image labeling and building a dataset for computer vision algorithm (LabelMe)

- Remote date gathering and control in machine to machine (M2M) communication for HVAC automation (OPC UA, Python) - Test automation (RabbitMQ) - Support in media design, graphics, presentations (Photoshop, PowerPoint, Adobe Premiere)

• Implementing ISO 14001 Environmental Management System • Implementing an OHSAS 18001 • Conducting hazard analysis to identify and evaluate potential health, safety, and environmental risks associated with the plant's operations (HAZOP) • Conducting a data-driven root cause analysis to identify the underlying causes of incidents and injuries, and develop effective solutions to prevent similar incidents from occurring in the future (Fault Tree Analysis FTA, Failure Mode and Effects Analysis FMEA)