AI Specialist @ The General Store | AI Engineering Student @ UTS
🎓 Bachelor of Artificial Intelligence — University of Technology Sydney (Distinction Average)
Focused on practical AI applications across business, automation, and computer vision
Blending technical precision with human-centred design principles
- Onboarding Platform for The General Store - Building a webapp using react and typescript with a firebase backend and vercel deployment for onboarding company employees
- AI Prompt Enhancement Platform — Built full-stack web app integrating Gemini and Leonardo APIs for prompt optimisation, deployed on HuggingFace and adopted by 70+ team members
- Sentiment Analysis Research — Compared Naive Bayes, SVM, and Logistic Regression on 8,000 ChatGPT reviews, achieved 91.1% accuracy with SVM using TF-IDF vectorisation
- Customer Churn Prediction — Engineered ensemble models for Kaggle competition, placed top 15% using decision trees, SVM, and neural networks with feature engineering
Programming & ML Frameworks: Python, JavaScript, SQL, scikit-learn, Pandas, NumPy, PyTorch, TensorFlow
Data Engineering & Automation: Google App Script, Webhooks, Power BI, Tableau, Excel (Advanced), KNIME, API Pipelines
Generative & Applied AI: Gemini, Claude, OpenAI, Nano, Hugging Face, Perplexity, Image Gen, Video Gen, Prompt engineering
Cloud & Deployment: Google Cloud Platform, Microsoft Azure, Streamlit, Hugging Face Spaces, GitHub
Development & Collaboration: VS Code, Jet Brains, Jupyter Notebook, Jira, Slack, Google Workspace
- 🎨 Delivered end-to-end AI TVC for REBEL SPORTS using prompt engineering and video generation
- 🎯 Reduced operational costs by 6 figures within 2 weeks of employment by optimising processes with AI
- 🏆 Trained over 70 employees on Gen AI workflows in various use cases