Projects | Joshua Seyi Ibitoye

Self-Healing Network Prototype

Thu, 07 Aug 2025 00:00:00 +0000

Developed a prototype architecture for networks that can detect disruptions, identify likely root causes, and trigger recovery workflows with less manual triage.

The design combines telemetry, root-cause analysis, anomaly detection, and automated remediation patterns to make recovery faster and more consistent during cyber incidents.

AI Credit Card Fraud Detection

Sun, 01 Jun 2025 00:00:00 +0000

Built an applied fraud-detection workflow for anonymized card transaction data, with preprocessing, class-imbalance correction, model comparison, and security-focused evaluation metrics.

The project compares logistic regression, random forest, XGBoost, and neural models using recall, precision, F1 score, and ROC-AUC so the result is judged by fraud-catching usefulness instead of accuracy alone.

Cloud Security Landing Zone

Mon, 01 Jan 2024 00:00:00 +0000

Architected secure AWS foundations that combine network segmentation, IAM boundaries, logging, and automated deployment paths for production workloads.

The implementation pattern brings together infrastructure as code, repeatable CI/CD, and security guardrails so teams can ship without rebuilding the same cloud foundation for every engagement.

High-Performance Remote Desktop Access

Mon, 01 Jan 2024 00:00:00 +0000

Designed a remote-access architecture focused on performance, reliability, and controlled access for technical support workflows.

The work emphasized secure connectivity, user access boundaries, endpoint visibility, and operational documentation so support teams could reach critical systems without weakening the overall security posture.

Zero-Trust Policy Automation

Fri, 01 Dec 2023 00:00:00 +0000

Designed a zero-trust security pattern that continuously evaluates behavior, applies adaptive controls, and improves containment across cloud workloads.

The project focuses on identity-aware boundaries, least-privilege access, telemetry-driven policy updates, and automated response paths for reducing lateral movement.