IT Architect | AI-Driven Digital Transformation Leader

Practical AI systems for cybersecurity, industrial operations, healthcare, and enterprise analytics.

25+ years of enterprise IT, oil & gas infrastructure, data center operations, cybersecurity, and software engineering combined with modern AI solutions.

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Portfolio Focus

  • AI-Powered Cybersecurity
  • Predictive Maintenance
  • Smart ERP Analytics
  • AI Healthcare Prediction

Professional Summary

Senior IT Architect and AI Engineer with extensive experience in enterprise infrastructure, industrial systems, digital transformation, SCADA-support environments, data centers, and ERP systems. This portfolio demonstrates applied AI solutions for real-world enterprise and industrial use cases.

Selected Work

AI & Enterprise Projects

Cybersecurity AI

Network Anomaly Detection – Real-Time Enterprise System

A defensive AI-powered network security platform that captures live NIC traffic, aggregates packet metadata, extracts behavioral features, and detects DDoS, PortScan, and BruteForce patterns.

  • Live packet capture from real NIC using Scapy
  • Real-time AI console detection
  • Hybrid classifier + anomaly detection pipeline
  • SOC-style dashboard and alerting
  • SPAN/mirror-port deployment model
Python • Scapy • Flask • Machine Learning • SOC • Network Security
View on GitHub →
Industrial AI

AI Predictive Maintenance System

An AI system for predicting equipment failures in industrial environments using operational telemetry such as temperature, vibration, pressure, RPM, and runtime behavior.

  • Equipment failure prediction
  • Industrial telemetry simulation
  • Flask prediction API
  • Dashboard-ready output for operations teams
Python • TensorFlow/ML • Flask • Industrial Data • Oil & Gas
View on GitHub →
Enterprise AI

Smart ERP Analytics

AI-powered ERP analytics system for forecasting operational costs and identifying abnormal business and financial patterns in enterprise data.

  • Cost forecasting
  • Financial anomaly detection
  • ERP data modeling
  • Decision-support dashboard
Python • Forecasting • Anomaly Detection • ERP • Business Intelligence
View on GitHub →
Healthcare AI

AI-Powered Diabetes Prediction & Monitoring System

A healthcare AI application for diabetes risk prediction and monitoring using machine learning models, REST APIs, and web/mobile-ready architecture.

  • Diabetes risk prediction
  • Flask API backend
  • Docker-ready architecture
  • Designed for web and mobile integration
Python • Flask • ML • Docker • Healthcare AI
View on GitHub →

Core Strength

AI-enabled enterprise architecture

Transforming operational problems into practical AI systems that integrate with existing infrastructure, applications, and industrial environments.

Network Security
Machine Learning
Flask APIs
Docker
SCADA/DCS Awareness
ERP Systems
Data Centers
Digital Transformation
Predictive Analytics

Reference Architecture

Enterprise AI Security Pipeline

Network Traffic
→
Capture Agent
→
Feature Engineering
→
AI Detection
→
Alerts & Dashboard

This architecture reflects passive monitoring through SPAN/mirror ports, live feature extraction, AI-based classification, and SOC-style alerting.

Business Value

Cybersecurity

Early visibility into suspicious network behavior and abnormal traffic patterns.

Industrial Operations

Predictive maintenance to reduce downtime and improve operational resilience.

Enterprise Management

ERP analytics for forecasting, anomaly detection, and decision support.

Healthcare AI

AI-assisted prediction and monitoring systems for health risk assessment.

Contact

Open to international opportunities, consulting, and collaboration in AI-driven cybersecurity, industrial AI, and digital transformation.

sabozakuk@gmail.comGitHubLinkedIn