CS grad from the University of Melbourne building things at the intersection of machine learning, computer vision, and full-stack software.
I'm actively looking for graduate / junior roles in Melbourne β AI engineering, data science, software engineering, or computer vision. Open to a chat.
- π₯ Computer vision pipelines β real-time object detection, custom YOLO training, spatial analytics
- π Predictive ML models β sports forecasting, Elo ranking systems, probabilistic modelling
- π Full-stack web apps β React / Node.js / PostgreSQL, deployed on AWS
- π€ RL agents β PyTorch-based bots for strategy games
π BallVision β Real-Time Basketball Computer Vision
End-to-end CV pipeline for player and ball tracking across full match footage. Custom YOLO models, CVAT annotation workflows, top-down court visualisation.
π MarchMadness2026 β Sports Prediction System
Kaggle competition entry. Custom Elo-based ranking, feature engineering on 40+ years of data, probabilistic outcome modelling that outperformed public betting baselines.
π MarkingApp β Full-Stack Deployed Web App
Production app for managing university marking workflows. React + Node.js + PostgreSQL + AWS. Rubrics, analytics dashboards, and automated email notifications.
π GTO3 β PokerHack 2025 Winner
Hackathon-winning poker bot applying game theory optimal strategies via probability-based decision trees. Won PokerHack 2025 hosted by HackMelbourne.
- π§ ericberg120@gmail.com
- πΌ linkedin.com/in/not-eric-berg
- π kaggle.com/ecberg
- π Open to: Graduate / junior roles in Melbourne Β· AI Β· Data Science Β· SWE Β· Computer Vision


