My Story

I work in the fields of Artificial Intelligence, Machine Learning, and Computer Vision, with a focus on developing intelligent solutions to solve real-world problems.

My professional journey started in Biotechnology. Over time, as I entered the world of programming and artificial intelligence, I gradually shifted my focus toward Machine Learning, Deep Learning, and Computer Vision. This combination of life sciences and AI allows me to approach problems from both a domain-specific and a computational, data-driven perspective.

In my projects, I have worked with Python, Scikit-learn, TensorFlow/Keras, and PyTorch, and I have experience applying various machine learning algorithms and neural networks. In the field of Computer Vision, I have also worked with CNNs and YOLO, focusing on projects involving image classification, object detection, object tracking, and color analysis.

One of my practical projects is the development of a pill detection, tracking, and classification system using YOLO, ByteTrack, and image processing. The system is designed to detect pills in video, assign unique IDs to individual objects, and analyze visual characteristics such as their color.

Alongside AI, I also have experience in website design and support, WordPress, and SEO, and I am interested in combining different technologies to build practical and useful solutions.

My goal is to develop projects that take artificial intelligence beyond experimental models and turn it into practical solutions for real-world applications, particularly in areas such as Computer Vision, healthcare, industry, and intelligent automation.