FinTech & AI Projects
Selected public repositories that illustrate my work in payment-system architecture, ISO 20022–based designs, and AI-driven fraud detection. These projects complement my industry roles by providing reproducible, educational examples for engineers, students, and researchers.
Featured Architectures
End-to-end views of modern payment systemsDigital Payments System Blueprint
An end-to-end architectural blueprint for modern digital payment systems, focusing on how banks orchestrate multiple rails, standards, and risk controls into a unified platform.
- Models high-value, ACH, RTP, FedNow, and cross-border flows with an emphasis on orchestration and settlement behavior.
- Captures real-world concepts from production systems in a vendor-neutral, educational form.
- Intended as a learning resource for engineers, architects, and students exploring payments modernization.
AI & Fraud Detection Frameworks
Prototype implementations aligned with researchFederated Fraud Detection Framework
Prototype implementation of federated learning for fraud detection, designed to explore how multiple financial institutions can collaborate on model training without sharing raw transaction data.
- Supports experimental workflows for both batch analytics and near real-time anomaly scoring.
- Demonstrates how model updates can be shared across parties while keeping local data private.
- Aligns with my published work on federated learning and secure AI in financial systems.
Additional Repositories
More examples of code and experiment sandboxesResearch & Experiment Sandboxes
In addition to the flagship repositories above, I maintain smaller experiment repos and notebooks connected to ongoing research in AI-driven payments, anomaly detection, and intelligent transaction routing.
- Exploratory notebooks linked to conference papers and journal articles.
- Proof-of-concept implementations for ideas under peer review.
For an up-to-date list, please visit my GitHub profile: github.com/RahulAutade2288.
How to Use These Repositories
These projects are intended as reference implementations and learning tools. They are not production systems, but they reflect real-world patterns from Tier-1 banking environments.
- Students can use the blueprints to understand how real-time payment systems are structured.
- Researchers can build on the AI and federated-learning examples for experimental work.
- Practitioners can adapt architectural patterns when designing or modernizing payment platforms.