I am a Machine Learning Engineer with over 2 years of experience in model development, data analysis, and workflow automation. I specialize in building end-to-end machine learning pipelines and integrating AI solutions into production systems to drive business value. My expertise spans AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as MLOps tools like MLflow and Hugging Face Spaces.
Currently, I am exploring Agentic AI systems, focusing on autonomous decision-making and scalable AI pipelines that can automate complex workflows. I have hands-on experience deploying models on cloud platforms including Azure and Google Cloud, and automating business processes using tools like Power Automate and Azure Logic Apps.
Throughout my career, I have worked in both consulting and freelance roles, delivering ML-driven solutions for international clients and research projects. I am passionate about leveraging data-centric optimization techniques and advanced machine learning methods to solve real-world problems.
I have also contributed to scientific research as a data analyst intern and research assistant, gaining valuable experience in data monitoring, validation, and collaboration within multidisciplinary teams. My technical skills are complemented by certifications from Microsoft and Google, highlighting my commitment to continuous learning and professional growth.
I am fluent in Spanish and have intermediate proficiency in English, enabling me to work effectively in diverse, international environments. I am eager to contribute my skills to innovative projects that push the boundaries of AI and machine learning.
