Data & Machine Learning Engineer in the making, focused on turning raw data into models and pipelines that deliver measurable impact.
I'm a Systems Engineering student at Universidad Icesi, currently working as a Data Engineer at Globant, where I help build a data democratization initiative for Ecopetrol using Microsoft Fabric and a Medallion Architecture on Azure.
My work sits at the intersection of data and AI. On the data side, I build pipelines and architectures with Microsoft Fabric, SQL, and PostgreSQL. On the ML side, I focus on Machine Learning and Computer Vision with PyTorch, OpenCV, and modern architectures (CNNs, Transformers), applying transfer learning and fine-tuning, and deploying models with FastAPI, ONNX, and Docker.
Some projects I'm proud of:
A chest X-ray prioritization system built with Fundación Valle del Lili to help triage critical patients
Applied computer vision projects for real-time detection and tracking
Python automation and API integrations in production environments
I'm currently deepening my path toward Machine Learning and MLOps, combining solid data engineering foundations with cloud (Azure, AWS, GCP) and DevOps practices like CI/CD and containerization.
Always learning, always shipping. Open to connecting around Data, ML, and Computer Vision.
