Machine Learning Engineer focused on computer vision, market trend prediction, and innovation. I have worked with various types of neural networks and convolutional neural networks (CNN) to develop projects involving classification, segmentation, object detection, and both short-term and long-term regression predictions. Some of the technologies I have used include CNN, LSTM, RNN, ANNs, Yolo, Yolop, and Unets.I also have experience in Django, including database control through ORM, class modeling, and geolocation systems (GIS). I have extensive experience with optimization algorithms and problem-solving techniques such as GRASP with tabu search, genetic algorithms, and simulated annealing, among others. I have worked on algorithm development, solution design, and solution generation. Additionally, I have experience using industrial computers for processing physical inputs and outputs.