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AudioI have hands-on experience developing machine learning models and AI automation systems, with a strong foundation in data preparation, feature extraction, and model training. My work includes building a machine learning model for genre identification using audio feature extraction, which required careful data labeling and annotation to achieve over 80% test accuracy. I am proficient in Python, PyTorch, TensorFlow, and Keras, and have applied these tools to projects involving classification, decision-making simulations, and user interaction analysis. My background in computer science and artificial intelligence, combined with practical experience in web development and e-commerce optimization, allows me to approach data annotation and AI training tasks with both technical rigor and a focus on real-world impact. I am passionate about creating high-quality training data and automations that drive meaningful results for AI systems.
Developed a machine learning model that classifies songs into their respective genres, extracting audio features that contributed to the model's classification, and reached above 80% test accuracy
Bachelor of Science, Computer Science and Artificial Intelligence
American Diploma, General Education
Web Developer & AI Engineer
App/Web Developer
