Julia Zapala

Artificial Intelligence (Machine Learning) postgraduate student with a First-Class BSc in Computer Science with Software Development. I have experience developing models using biological and ecological datasets, including feature engineering, cross-validation, evaluation on imbalanced data, and GPU-accelerated machine learning (RAPIDS) on large-scale datasets.

My projects include building end-to-end pipelines for predictive modelling, computer vision, and deep learning using Python, Scikit-learn, TensorFlow and PyTorch. I have also built and deployed containerised systems using Flask, Docker, and TensorFlow Serving with REST-based model serving, GPU-accelerated inference, and performance monitoring.

Currently seeking a graduate Machine Learning or Data Science position where machine learning can be applied to solve real-world problems.