* Applied Deep Learning Techniques to detect and classify disposable wastes from factories, including (YOLOv5, YOLO‑R, YOLOv7, DINO and the recent YOLOv8). • Implemented a novel approach to estimate the volume (and therefore, the mass) of waste materials using object detection techniques. • Utilized the OCR technique to extract and curate a dataset of LEGO model components for use as input in object detection and image classification algorithms. • I am currently researching on the best Time Series Model (Convolutional LSTM) to predict future pressure and temperature values, and apply the DDPG Reinforcement Learning Algorithm in order to design an effective, AI assisted car cooling system.

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image processing of holographic microscopy images using AI

As a part-time student assistant, I am helping clients of the Global Talent Visa Center with several tasks

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- Implemented some Deep Learning models on Computer Vision tasks using PyTorch for image segmentation, and object detection. - Developed a user interface using PyQt6 so as to visualize the inference of an object detection model on any video

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- Trained and tested some Deep Learning models for the Detection of components of a railway using YOLOv5, YOLOR, DINO, and the recently released YOLOv7. - Developed a user interface using Python's binding for the Qt user interface so as to visualize the bounding boxes detected by an object detection model - Developed internal tools for fast and efficient data processing, data cleaning, and visualization

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