ML Engineer/Full-Stack Developer
I build end-to-end ML pipelines and production web applications—from raw data to deployed models and live products.
ML engineer and full-stack developer based in Auckland, New Zealand
I'm a final-year Bachelor of Information Technology student at Otago Polytechnic Auckland, graduating December 2026. I ship real applications — not just coursework — with live deployments on Streamlit, Vercel, and Firebase.
My ML work grew from genuine curiosity into a real specialisation. I built an end-to-end Road Accident Risk Predictor achieving 90.5% R²with Random Forest and GridSearchCV, and I'm actively deepening my stack in Python, scikit-learn, and TensorFlow alongside full-stack web development.
I'm looking to join a team where I can contribute from day one and grow into a strong ML or full-stack engineering role.
End-to-end pipelines with scikit-learn, TensorFlow, and Streamlit — from data cleaning through model deployment.
React / Next.js frontends, Node.js and Spring Boot backends, PostgreSQL and Firebase — shipped to production.
AWS-certified, Docker, Git workflows, CI/CD — comfortable across the full delivery lifecycle.
Proficient across the ML engineering pipeline and modern web stack
Full Stack
End-to-end ML pipelines and production web applications
End-to-end ML pipeline predicting road accident risk from real-world data. Built the full lifecycle: data cleaning, feature engineering, hyperparameter tuning, and a live interactive Streamlit deployment with gauge visualisation.
Classification pipeline on the Pima Indians dataset using KNN Imputation for missing values, stratified train/test split, and GridSearchCV for hyperparameter tuning. Evaluated with precision, recall, F1, and ROC-AUC.
Full-stack tournament web app with role-based access control (admin, host, participant), real-time quiz participation, JWT authentication, and Spring Boot microservices with a PostgreSQL backend.
Multi-role equipment hire marketplace (Renter, Owner, Admin) with real-time booking synchronisation, Firebase Authentication, Firestore live database, and live availability tracking.
Academic foundations and the milestones that shaped my engineering practice
Otago Polytechnic — Auckland International Campus
2024 – Dec 2026
Machine Learning, Software Development & Cloud Computing
Study Areas
Journey
Enrolled at Otago Polytechnic Auckland, focusing on ML, software development, and cloud.
Shipped a multi-role Firebase marketplace with real-time Firestore bookings, Auth, and live availability.
Full-stack app: Spring Boot microservices, PostgreSQL, JWT auth, React frontend deployed to Vercel.
End-to-end ML pipeline. Random Forest + GridSearchCV → 90.5% R². Live on Streamlit.
KNN Imputation, stratified splits, GridSearchCV, full evaluation with F1 + ROC-AUC.
Completing Bachelor of IT — open to graduate ML and full-stack engineering roles.
Ready to collaborate on your next project? Let's talk!
I'm always excited to discuss new opportunities, innovative projects, or just have a chat about technology. Feel free to reach out through any of the methods below.
You can also find me on various social platforms or schedule a video call to discuss your project in detail.
