Graph Machine Learning
Graph neural networks, representation learning, graph autoencoders and unsupervised anomaly detection.
AI · Data Science · Research · Technology
Ahmad Rasti Barzoki
Technology leader, Data Scientist and AI/ML researcher working across Graph Machine Learning, Anomaly Detection, Applied AI and Data Engineering.
Focus
Building at the intersection of research and real-world systems.
My work spans machine learning research, production analytics, data engineering, enterprise systems and responsible applications of AI. I am especially interested in methods that are technically rigorous and useful in practice.
Machine Learning Systems
Practical AI and analytics systems for decision support, forecasting and data-driven operations.
Data & Enterprise Integration
Reliable data pipelines, analytics engineering and clean integration patterns for enterprise systems.
Selected work
Open projects.
Public, reproducible projects that reflect my research and engineering interests.
Python · Graph MLGraph Anomaly Detection
Research implementation of graph autoencoder anomaly detection with GAT and MST-geodesic regularization.
Python · AnalyticsRetail Analytics Engineering
Clean-room analytics engineering project with synthetic data, validation, dimensional analysis, testing and CI.
Python · Data EngineeringERP–MySQL Integration
Clean-room reference implementation of a synthetic ERP-to-MySQL integration pipeline.