Professional Overview
A motivated Bioengineering graduate from Universidad de Antioquia with a strong foundation in Python, Machine Learning (using Pandas, Scipy, Numpy,Scikit-learn, Tensorflow and Pytorch), with experience in Git, Bash, JavaScript and Docker. And proficient in cloud services as AWS lambda, Google Kubernetes Engine (GKE) and Google Cloud Services.Additionally in laboratory techniques, biomaterials, medical imaging, and biomechanics. Experienced in neural image preprocessing, biological signal analysis, and Python-based machine learning. Results-oriented innovator with proven skills in experimental design, data analysis, and problem-solving. Passionate about enhancing patient care through engineering solutions and dedicated to continuous professional development. Effective communicator and team player, excelling in dynamic, creative environments. Ready and committed to make significant contributions to the field of Bioengineering.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
