ezequiel garcia

I am a dedicated Machine Learning Engineer with a strong foundation in developing innovative AI solutions. My experience includes creating models that classify reviews and predict sentiments, utilizing advanced techniques such as BERT fine-tuning and neural network training with synthetic data. I thrive in collaborative environments and am committed to self-directed learning, which has enabled me to implement effective data extraction processes and sentiment analysis systems.

Currently, I am working on exciting projects at Grupo Comparen, where I developed a RAG system for retrieving information from various sources, including YouTube videos and PDF documents. Additionally, I am co-developing AI-generated courses for a university, integrating OpenAI models to enhance educational experiences. My goal is to leverage my skills in machine learning and data science to create impactful solutions that drive efficiency and innovation.