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

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.
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.

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