AI/ML Outlier Detection PoC
A full-stack anomaly detection PoC deployed on AWS.
Engineered and deployed a full-stack anomaly detection PoC on AWS EC2, featuring a Dockerized application with a custom-made ML library (Scikit-learn, Pandas) and an interactive Streamlit/Plotly dashboard, all supported by a dedicated MLflow server tracking experiments to an RDS Serverless Aurora (PostgreSQL) database under CloudWatch monitoring.
The code for this project is proprietary and not publicly available.