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.

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.

Available to hire

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.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Polish
Fluent

Work Experience

Volunteer at Everton Volleyball
January 1, 2022 - Present
Coordinated tournaments and managed schedules for multiple teams. Acted as scorer and line judge ensuring accuracy under pressure.
Warehouse Operative at Lidl GB
January 1, 2020 - Present
Worked in a fast-paced environment supporting a range of distribution operations. Maintained accuracy and performance under strict time constraints. Consistently met daily targets.

Education

MSc Artificial Intelligence (Machine Learning) at Liverpool John Moores University
January 1, 2025 - May 1, 2026
BSc Computer Science (First Class) at University of Liverpool
January 1, 2022 - January 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Retail, Education, Media & Entertainment, Professional Services