சைபர் பாதுகாப்பு & IT உள்கட்டமைப்பு ஆய்வாளர் & ஆலோசகர்

IT administrators and network engineers lack a centralized, automated monitoring setup to track server health, endpoint availability, and network devices.

Configured a complete Zabbix network monitoring environment for servers, switches, and endpoints. Implemented proactive alert thresholds, custom metrics gathering, and automated availability dashboards.

Dispersed infrastructure logs across firewalls, Linux servers, and Active Directory make incident triage and security auditing slow and manual.

Unprotected Linux server endpoints are vulnerable to unauthorized access and port exploitation without custom packet filtering and logging.

Expired SSL certificates and unexpected exposed open ports often go unnoticed until external systems fail or security audits flag them.

Developed a high-performance, multi-threaded asynchronous port scanner and SSL monitoring dashboard. Built socket-based network discovery, real-time service detection, and SSL certificate expiration alerting.

Repetitive system administration tasks—process monitoring, directory health checks, and log rotations—consume excessive administrative time when handled manually.

Built a modular automation toolset using Python and Bash for headless Linux server management. Automated critical process health surveillance, disk utilization threshold checks, and automated system remediation routines.

Operations and finance teams spend hours manually re-typing unstructured data from complex multi-page industrial PDFs, OBL sheets, and warrants into spreadsheets.

Engineered a full-stack OCR and table extraction pipeline using React and Express. Integrated high-precision tabular parsing to process complex industrial documents into clean, multi-sheet formatted Excel workbooks.

Complex infrastructure monitoring environments flood engineering teams with cascading alerts, obscuring root cause dependencies during major incidents.

Built as part of professional infrastructure engineering work. Connects monitoring signals with workflow automation and incident correlation routines to accelerate root-cause identification and operational response.