Infrastructure
Linux / Windows Server / VMware / Network
I'm a DevOps and Infrastructure Engineer based in Tehran. At Samin Tarasheh Iran Engineering, I work on enterprise services, infrastructure monitoring, log analysis and deployment automation. This site introduces who I am, what I do and the projects I've worked on.
I'm Amirhossein Esfahaniha. Since September 2024, I've worked as a DevOps and Infrastructure Engineer at Samin Tarasheh Iran Engineering in Tehran. I'm also pursuing a bachelor's degree in Software Engineering at Enghelab Eslami Technical and Vocational University.
My work spans Linux and Windows Server administration, VMware virtualization, Zabbix monitoring, ELK logging, backups and service deployment with Docker and GitLab CI/CD. I care about infrastructure that can be observed, recovered and changed with confidence. I've also deployed and maintained Moodle and BigBlueButton.
Linux / Windows Server / VMware / Network
Zabbix / ELK / Filebeat / Alerting
Docker / GitLab CI/CD / Deployment
Veeam / TrueNAS / MinIO / Recovery
Technologies I've used across infrastructure, automation, networking and operations.
Examples of areas where I've designed, deployed, maintained or improved systems.
Monitoring servers, services, network devices, hardware resources and SSL certificates with triggers and alerts.
Collecting and analyzing service logs with Kibana dashboards to support incident investigation.
Deploying object storage for application data and backup scenarios on Linux and Docker.
Deploying Vaultwarden with a reverse proxy, TLS and a backup plan.
Creating repeatable build and deployment workflows that reduce manual steps.
Managing virtual machines and resources for enterprise workloads with ESXi and vCenter.
Maintaining backup jobs and recovery plans with Veeam and TrueNAS.
Operating routing, firewall, DNS and DHCP services in an enterprise environment.
The path that brought me into infrastructure and DevOps.
Areas I've explored through academic work.
A study of classification methods and their performance on large datasets.
Machine Learning / Big DataExploring how visualization tools help interpret data in environmental studies.
Visualization / Environmental StudiesFor DevOps, infrastructure, Linux, monitoring or related opportunities, email me or reach out through the links below.