Devops Engineer Cloud Security

GOKULAKRISHNAN ANANDAN

• 945-***-**** • *******@****.***.*** • www.linkedin.com/in/gokulakrishnan-anandan SKILLS AND CERTIFICATIONS

Cloud & DevOps Tools: AWS, Azure, Google Cloud, Terraform, Kubernetes, Docker, Ansible, Jenkins, Git, CI/CD Pipelines Cloud Engineering & Optimization: infrastructure as Code (IaC), Continuous Integration & Deployment (CI/CD), Cloud Security, Monitoring & Logging, High Availability & Scaling, Networking & Load Balancing Certifications: AWS Certified Solutions Architect, Kodekloud Linux basics & lab, Google Cloud Professional DevOps Engineer, Kubernetes Certified Administrator (CKA), Terraform Associate EDUCATION

M.S. in Information System - The University of Texas at Arlington, TX, United States Dec 2026 B.E. in Electronics & Communication Engineering - SRM Easwari engineering college, Chennai, India WORK EXPERIENCE

May 2024

Cloud Support Engineer Intern, Ernst & Young, Chennai, India Jan 2024 - Jun 2024

• Provided cloud infrastructure support across AWS, Azure, and GCP, ensuring high availability, performance, and scalability.

• Automated infrastructure deployment with AWS CloudFormation and Terraform, improving efficiency and reducing operational overhead.

• Developed and maintained cloud monitoring solutions using AWS CloudWatch, Azure Monitor, and Google Stack driver for real-time performance tracking.

• Designed multi-region disaster recovery plans and conducted cloud cost optimization to enhance resilience while minimizing expenses.Managed IAM roles and security policies, ensuring compliance, robust access control, and adherence to cloud security best practices.

Network Security Engineer, IIT Madras, Chennai, India Mar 2023 - Aug 2023

• Designed and implemented secure hybrid network architectures, integrating firewalls, VPNs, and cloud-native tools, reducing vulnerabilities by 40%.

• Enhanced threat detection by 50% through real-time monitoring across cloud and on-premises networks using AWS CloudWatch, Azure Monitor, and SIEM tools.

• Achieved 95% ISO 27001 compliance by leading automated compliance workflows across AWS and Azure, reducing manual efforts by 30%.Optimized cloud network performance by configuring load balancers and routing, improving data transfer speeds by 25% and reducing latency.

• Reduced security incident resolution time by 60% with automated workflows leveraging AWS Lambda, Azure Logic Apps, and SIEM integration.

IoT Researcher, CSIR-CEERI, Chennai, India Aug 2022 - Dec 2022

• Designed and deployed IoT-based systems for smart agriculture and industrial automation, achieving a 30% improvement in system efficiency.

• Conducted research on IoT communication protocols like MQTT and LoRa WAN, reducing energy consumption of low-power devices by 20%.

• Built scalable IoT architectures integrating real-time analytics and AI models for precision agriculture, smart cities, and healthcare monitoring. Designed secure IoT frameworks with end-to-end encryption, reducing vulnerabilities by 40%, ensuring data integrity and system reliability.

• Partnered with multidisciplinary teams to deliver successful IoT projects, meeting deadlines and industry standards with zero operational delay

PROJECTS

Proactive Threat Classification System for Enhanced Operational Security Dec 2024

• Designed and implemented a machine learning-based security risk assessment tool, improving anomaly detection by 20% and enhancing proactive risk management across physical, network, and compliance domains.Developed an interactive dashboard for tracking risk trends and security metrics, enabling instant threat classification and reducing critical risk response time by 30%. Revolutionizing Cloud Security Through Machine Learning Apr 2024

• Designed and implemented an IDS using machine learning models and hybrid feature selection, achieving 95% accuracy on UNSW- NB15 and Kyoto datasets while reducing false positives by 20%.

• Utilized SMOTE to address data imbalance, improving detection rates and minimizing false positives, and developed a real-time intrusion detection system optimized for scalable cloud environment Automated Vehicle Control System to Prevent Accidents Using Wireless Communication Nov 2023

• Designed a Vehicle-to-Vehicle (V2V) communication system using Wireless Sensor Networks (WSN), integrating MEMS and vibration sensors for collision detection and alert transmission, enhancing accident prevention.

• Programmed microcontrollers to automate vehicle responses to collision alerts, ensuring controlled deceleration and improving road safety through hardware-software integration.

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