JINEESH KUMAR A K

Network automation and AI automation engineer with 5+ years of enterprise networking, Linux/RHEL infrastructure, and network configuration. Automated management of 500+ network devices using Ansible. Implemented monitoring with Grafana, InfluxDB, and Zabbix, and integrated network management platforms.

Title: Network Automation Engineer | LLM & AI Agents

• ETHICAL HACKING - March 2021
• JAVA TRAINING - June 2019
• Docker Certification - 2025
• GIT Certification - 2025

Technologies: Python, Flask, Odoo, Linux, DigitalOcean VPS, MySQL/PostgreSQL, REST APIs, Namecheap DNS, SSL/TLS, Razorpay, SendGrid

• Developed and deployed a live e-commerce web application using Odoo and Flask on a Linux-based DigitalOcean VPS.
• Configured domain registration, DNS management, and SSL/TLS to enable secure access to the application.
• Integrated the Razorpay payment gateway and SendGrid email API for payment processing, order confirmations, and automated customer notifications.
• Configured database connectivity and managed server deployment, application configuration, and operational maintenance.
• Implemented API integrations and automated workflows to improve order processing and application reliability.

Technologies: Python, Ollama, Large Language Models (LLMs), Model Context Protocol (MCP), REST APIs, AI Agents

• Exploring local LLM deployment using Ollama to run language models for privacy-conscious AI-assisted automation.
• Developing a personal AI agent concept to interpret user instructions and connect AI models with external tools and APIs.
• Learning MCP-based tool integration to enable AI assistants to interact with compatible tools and services.
• Exploring task automation workflows that combine LLM reasoning, Python scripts, and API integrations.

Technologies: Zabbix, Grafana, InfluxDB, Python, Shell Scripting, Linux/RHEL, Alerting

• Implemented monitoring dashboards and alerting workflows to improve visibility into infrastructure and network performance.
• Used Zabbix monitoring to identify operational issues and support proactive troubleshooting.
• Configured Grafana dashboards with InfluxDB metrics for real-time performance monitoring and analysis.
• Developed scripts for automated health checks, reporting, and alert notifications to reduce repetitive operational tasks.
• Supported troubleshooting through monitoring data, alerts, and system logs.

Technologies: Cisco NSO, SCCM, Python, Shell Scripting, Linux/RHEL, SMTP

• Developed automation scripts for system monitoring, health checks, and operational reporting.
• Implemented automated email alerts to notify relevant teams of critical issues and threshold breaches.
• Managed RHEL subscription tracking and related configuration activities to support compliance.
• Supported troubleshooting of server performance, system configuration, and operational issues.

Technologies: Python, REST APIs, ServiceNow (SNOW), Linux/RHEL, Shell Scripting, Monitoring and Alerting

• Developed automation scripts for telecom system monitoring and operational reporting.
• Integrated the SNOW ticketing API with operational workflows to improve ticket creation, tracking, and management.
• Automated URL-blocking workflows to support compliance and operational requirements.
• Implemented critical alert notifications and automated report generation and distribution.
• Improved operational consistency by reducing repetitive manual activities through scripting and API integrations.