Jonathan Campos Lozano

IA Engineer @Mercado Libre

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Industrial and Software Engineer specialized in Artificial Intelligence, Data Science, and advanced model development. I design and build end-to-end solutions, covering everything from data ingestion and processing to the training, deployment, and monitoring of Machine Learning and Deep Learning models in production, always with a strong focus on scalability, real-world impact, and robustness. I have solid experience developing predictive models, classification systems, NLP solutions for complex domains (clinical and regulatory text), pattern detection, and intelligent automation pipelines, using Python, PyTorch, scikit-learn, LightGBM, CatBoost, XGBoost, and Hugging Face. I work comfortably across classical ML, deep learning, embeddings, and large language models, applying the right tool to the right problem. I have worked in high-performance corporate environments such as Ab-InBev and Mercado Libre, where I built FastAPI services, Docker-based architectures, and scalable data pipelines over SQL and NoSQL databases, delivering production-ready solutions under enterprise standards. I am also actively involved in AI research applied to healthcare, collaborating with the Universidad de La Sabana on NLP-driven approaches for the identification of COPD exacerbations from clinical data. In addition, I have experience as a university lecturer, teaching Python and analytics, because building strong systems matters—but explaining them clearly matters just as much.