A seasoned Machine Learning professional with a strong academic background, holding advanced degrees in Machine Learning and Computer Vision. With extensive experience leading the ML division, excelled in developing a reinforcement learning model that revolutionized financial planning efficiency and managed complex data collection and cloud infrastructure. Previous experience involved training CNN models and applying dimensionality reduction techniques to image datasets.
Key Skills
AI Consultant, AI Research Scientist, Computer Vision Engineer, Machine Learning Specialist
Credentials
Education: Master of Machine Learning and Computer Vision at The Australian National University, Bachelor of Computer Science at Swinburne University of Technology
Experience
Machine Learning Lead - End-to-end development of a reinforcement learning model that generates financial plans for clients
- Developed a custom RL environment that captures all logic related to property portfolios
- Implemented successful reward, observation shaping
- Deployed model to web application, allowing for a manual mode, an automated mode, and a hybrid mode
- Final result outperforms manual portfolio produced by economists and reduced time from 2 days to < 1 minute
- Implemented scrapers/parsers to collect data for business, often exploiting complex Javascript-based functionality
- Built and oversaw databases and cloud infrastructure
AI Fellow - Trained headless CNN models on CelebA dataset of images
- Used dimensionality reduction methods PCA, UMAP, ICA, t-SNE to project image clusters in a two-dimensional plane
- Developed a metric to identify image type given a set of images