AWS
Cloud Architecture
Design and operate scalable infrastructure, monitoring, automation and security-oriented cloud workloads.
DevOps • Cloud Architecture • AI Automation
Octavian Erdei
DevOps Engineer helping teams build reliable cloud platforms and practical AI-powered security analytics.
I combine AWS, Azure, GCP, Linux automation, observability, API platforms, Oracle data workflows and Machine Learning to transform infrastructure data into clear operational insight.
AWS SolutionsDevOps AutomationAI Security AnalyticsEnterprise Troubleshooting
25+Years IT experience
AWSAzure • GCP
130+Technical courses
DevOpsAutomation & operations
Core Expertise
Practical engineering across cloud, automation, data and security.
A personal-brand structure designed to present your broad DevOps and cloud profile, not only a single anomaly-detection use case.
CI
DevOps Automation
Build reliable scripts, pipelines and operational workflows for Linux, Git, APIs and enterprise platforms.
AI
AI & ML Analytics
Use Python, Scikit-learn and cloud ML services to detect patterns, anomalies and actionable signals in operational data.
About
A hands-on engineer who connects infrastructure, data and business outcomes.
My work focuses on operational clarity: turning logs, platform events, API behavior and network data into systems that teams can monitor, trust and improve.
LinuxPythonBashOracleAPI ManagementObservabilitySecurity AnalyticsConnected Vehicles
Cloud PlatformsAWS, Azure and GCP solution delivery
Architecture, deployment patterns, monitoring, security and cost-aware operational practices.
Enterprise OperationsReliable troubleshooting and automation
From APIs and databases to Linux workflows and production incident analysis.
AI IntegrationML-driven anomaly detection and analytics
Practical models and pipelines built for useful signals, not just experiments.
Project Themes
Consulting topics that match a modern DevOps / Solutions Architect profile.
Cloud-native operational platform
Infrastructure automation, monitoring, alerting, IAM-aware deployment and operational documentation.
Network/IP anomaly detection
Data ingestion, feature engineering, Scikit-learn models, AWS deployment and alert review workflows.
API and integration troubleshooting
End-to-end analysis of API flows, certificates, gateway behavior, logs and backend dependencies.
Enterprise data automation
Large-file processing, Oracle enrichment, CSV pipelines, reporting and repeatable Linux-based workflows.
Need cloud, DevOps or AI/security automation help?
Let’s discuss the project, the data, the platform and the operational outcome you need.