Age: 22 | Location: Canberra City, Australia
I am a Lead ML Engineer with a passion for designing, building, and deploying intelligent systems that solve complex, real-world problems. My expertise spans the entire machine learning lifecycle, from initial data exploration and model architecture design to leading teams in deploying robust, scalable, and production-ready models. I am particularly focused on ensuring my work is not only performant but also explainable, maintainable, and ethically sound. I'm constantly learning and expanding my skills through personal coding projects and exploring the latest advancements in AI to stay at the cutting edge of the field.
Here you'll find a range of my work in machine learning and data science.
- Customer Churn Prediction Model: A predictive model built with Python and scikit-learn to forecast customer churn for a telecommunications company.
- Natural Language Processing Bot: An NLP-powered bot for a support system, utilizing advanced deep learning models to categorize and route incoming customer queries.
- Reinforcement Learning Project: An AI agent developed using OpenAI Gym and stable-baselines3 to learn optimal strategies for navigating a simulated environment.
- Generative AI Model: A project focused on fine-tuning a pre-trained large language model (LLM) for a specific domain to automate content generation.
- Image Recognition API: An API powered by a pre-trained deep learning model to classify images, built with TensorFlow and Flask.
- Time-Series Forecasting Model: A deep learning model developed with PyTorch to predict sales trends and optimize inventory management.
- Successfully lead the launch of a new ML-powered product feature.
- Publish a technical blog post about model optimization or a new technology.
- Contribute to an open-source machine learning library.
- Earn a professional certification in a cloud machine learning service (e.g., AWS, GCP).
- Email: [email protected]