🎓 Bachelor of Information Technology student in Australia

🤖 Aspiring AI / Machine Learning Engineer

🐍 Building projects primarily with Python

🧠 Currently developing my knowledge in Machine Learning and Deep Learning

🔥 Learning PyTorch, Keras, Generative AI and LLMs

🔎 Exploring Retrieval-Augmented Generation (RAG), embeddings and Vector Databases

⚡ Interested in building practical AI systems that solve real-world problems

🎯 Long-term goal: Become an AI / Software Engineer working on large-scale intelligent systems

Python
  ↓
Data Analysis
  ↓
Machine Learning
  ↓
Deep Learning
  ↓
PyTorch / Keras
  ↓
Transformers & LLMs
  ↓
Vector Databases
  ↓
RAG
  ↓
AI Engineering

Currently using / learning:

• Python
• NumPy
• Pandas
• Scikit-learn
• Matplotlib
• Machine Learning
• Neural Networks
• PyTorch
• Keras

Currently learning:

• Large Language Models
• Transformers
• Prompt Engineering
• Embeddings
• Retrieval-Augmented Generation
• Vector Databases

Machine-learning project designed to analyse historical and market data and predict race outcomes.

• Data collection & preprocessing
• Feature engineering
• Machine-learning models
• Model evaluation
• Probability prediction
• Backtesting
• Automated testing
• Python application development

Python Pandas NumPy Scikit-learn Machine Learning

👉 View Race Predictor

An AI assistant capable of answering questions from documents using Retrieval-Augmented Generation.

Planned stack

Python • LLMs • Embeddings • Vector Database • RAG

Implementing core machine-learning algorithms to understand how they work internally.

Planned implementations:

• Linear Regression
• Logistic Regression
• K-Nearest Neighbours
• Decision Trees
• Neural Networks

Deep-learning image classification system built using PyTorch.

Planned stack

Python • PyTorch • CNN • Computer Vision

AI application that analyses skills, resumes and job descriptions and provides personalised career recommendations.

Planned stack

Python • LLM • RAG • Embeddings • Vector Database

🧠 Machine Learning
🐍 Advanced Python
🔥 PyTorch
🧬 Neural Networks
🤖 Generative AI
💬 Prompt Engineering
📦 Vector Databases
🔎 RAG
⚡ Apache Spark / PySpark
🐧 Linux
🌿 Git & GitHub
🧩 Data Structures & Algorithms

• Build strong Machine Learning fundamentals
• Learn PyTorch
• Build 3+ serious AI projects
• Build my first RAG application
• Learn Vector Databases
• Complete 100+ LeetCode problems
• Become comfortable using Git & Linux
• Contribute to an open-source project
• Land my first IT / Software / AI-related role

Learn it. Build it. Break it. Understand it. Improve it.

I'm documenting my journey from an IT student to an AI Engineer — one project and one commit at a time.

🤖 Building my path toward AI Engineering.