Sarıyer, Istanbul, Türkiye
4 years of hands-on experience, I focus on designing high-availability cloud architectures, leveraging Availability Domains, Fault Domains, and Hub-and-Spoke network topologies to meet enterprise business needs. I specialize in advanced AI infrastructure, including Generative AI Services, AI Agents, and workflow automation tools like n8n and LangFlow. My expertise also extends to engineering scalable network architectures and optimizing hybrid cloud connectivity using Dynamic Routing Gateways and FastConnect. I hold a Bachelor of Engineering in Industrial Engineering from Istanbul Technical University (2023) and have earned multiple certifications, including the Oracle Cloud Infrastructure (OCI) Architect Certificate.
Architectural Design: Designed high-availability OCI architectures utilizing Availability Domains, Fault Domains, and Hub-and-Spoke VCN topologies to align technical solutions with enterprise business requirements. Artificial Intelligence: Worked with Gen AI Services, AI Agents, LLMs, workflow automation tools (n8n, LangFlow, etc.) HPC-GPU Clusters and designed AI Infrastructure. Multi-Cloud Network Architecture: Engineered scalable VCN topologies (Hub-and-Spoke) utilizing Dynamic Routing Gateways (DRG) and FastConnect to establish secure, low-latency hybrid cloud connectivity and transit routing. Migration Strategy from Azure, AWS and GCP: Defined and executed cloud migration strategies (Re-host/Re-platform) to OCI, standardizing provisioning via Terraform modules and OCI Resource Manager for consistent infrastructure delivery. Security Governance: Established Zero Trust security frameworks by designing granular WAF-IAM policies, Security Zones, and Network Security Groups (NSGs), ensuring architectural compliance with PCI DSS and ISO 27001. Resilience & Observability: Architected self-healing cloud environments by integrating OCI Monitoring and Logging Analytics, reducing Mean Time to Resolution (MTTR) through proactive architectural decisions. Cost & Performance Optimization: Designed elastic infrastructure using Autoscaling configurations and OCI Load Balancers, optimizing the cost-performance ratio while maintaining service reliability. DevOps Integration: Embedded DevOps principles into solution designs, mandating automated CI/CD workflows using the OCI DevOps service and OCI Registry to accelerate release cycles.
Cloud Architecture, Devops & Security - I managed Azure Cloud Services and Azure Databricks pipelines that power real-time data acquisition from factory-floor IoT devices. This included setting up Azure Data Factory, EventHub, and ensuring seamless flow into Delta Lakes. - Performed Azure Cloud Optimization (%60 Saving per year) - Maintained web security with KeyCloak (SSO/Oauth/OpenID) and Proxies - Used Data Orchestration tools like Apache Airflow and worked with RESTful API and SOAP API. - Managing VNet, Subnets, Security Groups, Role-based access control (RBAC) and VPN Gateways to ensure secure provisioning across development and production environments. Data Engineering & Visualization - Built and maintained data pipelines to extract and process operational data, which was later used in PowerBI and Tableau dashboards to give factory managers actionable insights on machine utilization, downtime, and energy consumption. - Led data migration initiatives from on-prem SQL and NoSQL servers (MongoDB) to cloud-based data lakes, ensuring minimal disruption while adopting cloud-native services. RPA, Scripting & Monitoring - Developed custom Python, Excel VBA and Bash/Powershell scripts to automate resource monitoring, failure alerts, and system health reports. - Integrated Azure Monitor, Log Analytics, and Application Insights into live systems to enhance observability, better Service Level Support. Machine Learning Algorithms - In our R&D initiative for Energy Management, I deployed machine learning models and managed their lifecycle using MLOps principles—automating retraining pipelines, model monitoring, and rollback strategies. - For LLMOps experimentation, I participated in PoCs to deploy lightweight transformer models in production for log summarization and fault pattern detection. - With Python, using hyper parameter optimized Random Forest, Decision Tree Classifier with performance metric coded, I create Production Recipes for each model and each machine.
Contributed to Industry 4.0 and smart manufacturing projects with a strong emphasis on data science and digital transformation: - Supported implementation of data-driven solutions for machine connectivity, predictive maintenance, and operations monitoring. - Coordinated cross-functional projects with international sales, R&D, and support teams to align technical solutions with customer needs. - Applied machine learning techniques for anomaly detection, process optimization, and performance forecasting. - Participated in customer workshops and prepared technical documentation for solution rollout and training. - Worked on data collection pipelines, edge computing devices, and integration with MES/ERP systems.
- Conducted data-driven analysis of production processes to support lean manufacturing initiatives. - Optimized machine parameters by evaluating performance metrics, reducing cycle times, and improving product quality. - Gained hands-on experience in continuous improvement, waste reduction, and process efficiency within large-scale ceramic tile production.