AI & Data Engineer

Expertise in AI and Data Science

I am an AI and Data Engineer specialized in designing efficient, scalable, and business-oriented solutions in Artificial Intelligence and Business Intelligence. My work covers the entire data lifecycle, from preparation and processing to advanced analytics and deployment in production environments. With a strong foundation in machine learning, NLP, and data engineering, I deliver intelligent systems that create measurable business value.

Achievements and Professional Impact

Throughout my career, I have achieved significant results such as the design and automation of data pipelines to process large-scale information efficiently. I have optimized dashboards and decision-support tools, achieving major performance improvements and enhancing user experience. I have also implemented monitoring and proactive alerting systems to anticipate anomalies and ensure reliability. My experience includes developing data models and analytical solutions that provide robust insights and support strategic decision-making in complex projects.

Methodology and Vision

I believe that Artificial Intelligence alone is not enough: it must be combined with human expertise for validation and quality assurance. This approach guarantees that solutions are not only automated, but also reliable, interpretable, and aligned with real business needs. Certified in Agile project management, I bring a product-oriented mindset to every project, ensuring that innovation translates into concrete, scalable, and sustainable value. My goal is to build intelligent solutions that make a meaningful impact on organizations and society.

Technologies and Tools

I frequently work with a wide range of technologies that allow me to deliver end-to-end solutions. In Business Intelligence, I use Power BI, Snowflake, and SQL. For Machine Learning, I apply frameworks such as Scikit-learn, Keras, and TensorFlow. My Deep Learning expertise includes CNNs and RNNs for advanced modeling. In Natural Language Processing, I use SpaCy and NLTK to implement text mining and NLP pipelines. For back-end and deployment, I leverage Python, Flask, Django, Azure DevOps, and Git, ensuring scalability, collaboration, and robust version control.