Noah ***

CAREER SUMMARY
Machine Learning Engineer with hands-on experience developing, training and deploying machine learning models for real-world applications. Experienced in Python, PyTorch, TensorFlow and scikit-learn, with a strong foundation in data preprocessing, feature engineering, model evaluation and MLOps. Passionate about building scalable AI solutions, automating workflows and translating complex data into actionable business insights.

EDUCATION
Griffith University, Brisbane QLD
Bachelor of Information Technology (Data Analytics), November 2022 – June 2025

Recipient of the Griffith Award for Academic Excellence (2024)

Australian Computer Society (ACS), Brisbane QLD
Professional Year Program — Information Technology, September 2025 – May 2026

EXPERIENCE
NeuralPath AI, Brisbane QLD — Machine Learning Engineer, February 2026 – Current

Developed and deployed machine learning models for predictive analytics and automated decision-making, improving the efficiency of data-driven business processes.
Built end-to-end ML pipelines covering data collection, preprocessing, feature engineering, model training and performance evaluation.
Implemented classification and regression models using Python, scikit-learn and XGBoost to identify patterns in structured datasets and generate actionable predictions.
Developed REST APIs using FastAPI to integrate trained machine learning models into production applications.
Containerised ML services with Docker and implemented automated testing and deployment workflows to improve reliability and reproducibility.
Monitored model performance and data quality, documenting experiments and evaluating opportunities for model optimisation.

Project: github.com/alexmorgan-ml

DataForge Solutions, Brisbane QLD — Machine Learning Intern, February 2025 – July 2025

Contributed to an end-to-end machine learning project, collaborating with data analysts and software engineers to translate business requirements into technical solutions.
Cleaned, transformed and analysed large datasets using Pandas and NumPy, addressing missing values, outliers and data inconsistencies before model training.
Trained and compared multiple supervised learning algorithms using cross-validation and evaluation metrics to identify suitable models for business use cases.
Developed feature engineering workflows and applied hyperparameter tuning to improve model performance and generalisation.
Built interactive data visualisations and evaluation reports to communicate model results, limitations and recommendations to stakeholders.
Used Git for version control, Jupyter notebooks for experimentation and automated tests to support reproducible development.

GitHub: github.com/alexmorgan-ml/ml-projects
Portfolio: alexmorgan.dev/projects

Woolworths — Team Member, February 2025 – Current

Maintained reliability, communication and customer focus in a fast-paced environment while actively pursuing a career in machine learning and artificial intelligence.
Demonstrated teamwork, time management and problem-solving skills while balancing professional responsibilities with technical development.
TECHNICAL SKILLS

Programming Languages: Python, SQL, JavaScript, R

Machine Learning: Scikit-learn, XGBoost, LightGBM, supervised learning, unsupervised learning, feature engineering, model evaluation, hyperparameter tuning

Deep Learning & AI: PyTorch, TensorFlow, Keras, neural networks, NLP, transformer models

Data Processing & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, exploratory data analysis

Backend & Deployment: FastAPI, Flask, REST APIs, Docker, Git, GitHub Actions, CI/CD

Cloud & MLOps: AWS, SageMaker, MLflow, model versioning, experiment tracking, model monitoring

Databases: PostgreSQL, MySQL, MongoDB

Collaboration: GitHub, GitLab, Jira, Confluence, Agile/Scrum

Education

2022-11-07 to 2025-07-25
Bachelor of Information Technology — Griffith University

Skills

Machine Learning | Deep Learning | Python Programming | Data Preprocessing | Feature Engineering | Model Evaluation | Predictive Analytics | Statistical Analysis | Model Deployment | MLOps | API Development | CI/CD | Database Design | Software Engineering

Occupation: Machine Learning Engineer

Skills: Python, TensorFlow, Machine Learning

Experience: 8 years

Daily rate: AUD 350

Fictional sample profile — replace with your approved candidate details.