Network Automation Engineer | 2.5+ Years Experience | Python, Linux, DevOps, Cyber Security

Network Automation Engineer with 2+ years of experience automating network infrastructure and operational workflows using Python, Shell, Linux/Unix, SSH/Paramiko, SQL, and CI/CD practices. Experienced in developing automation solutions for network environments, including inventory collection, live node interactions, network configuration workflows, reporting, and operational data management. At Tejas Networks, developed Python-based automation that reduced manual reporting time by 40% and implemented secure SSH workflows using Paramiko that reduced repetitive operational effort by 50%, improving operational efficiency, consistency, and accuracy.

Strong foundation in networking and infrastructure concepts including TCP/IP, DNS, DHCP, HTTP/HTTPS, BGP, MPLS, firewalls, SIEM, and network management systems. Hands-on exposure to DevOps and cloud technologies including Git, GitHub, Jenkins, CI/CD, Docker, Kubernetes, Terraform, and AWS services such as EC2, S3, IAM, VPC, Route 53, RDS, and CloudWatch. Aspiring DevOps Engineer with a strong interest in cloud infrastructure, automation, platform engineering, and cybersecurity, looking to leverage my network automation background while building scalable, reliable, and secure infrastructure solutions.

Strong interest in cybersecurity and security-focused engineering, particularly network security, secure automation, access management, SIEM, firewalls, infrastructure security, and secure system communication. Additionally, have hands-on AI/ML project experience using Python, CNN, OpenCV, TensorFlow/Keras, and facial landmark detection, with a driver monitoring system achieving 95% accuracy through data augmentation, transfer learning, and hyperparameter tuning. Familiar with AI-assisted development and modern AI-driven workflows for improving development productivity, automation, troubleshooting, and engineering efficiency.

Brings a combination of network engineering, automation, DevOps, cloud, cybersecurity, software development, and AI/ML exposure, with a strong focus on reducing manual effort, improving operational reliability, strengthening infrastructure security, and developing scalable engineering solutions.