CHANDRA KOPPAKU
Cloud Architect & Network Engineer · MSc Computer Networks
Network, Cloud Infrastructure & DevOps engineer with an MSc in Computer Networks Administration and Management from the University of Portsmouth. Passionate about building resilient, scalable cloud-native systems with a focus on automation, security, and operational excellence.
I specialise in AWS cloud architecture, containerisation with Docker & Kubernetes, and end-to-end CI/CD pipeline engineering. My MSc thesis built a real-time VPC traffic anomaly detection engine using Python and AWS Flow Logs.
Based in Nottingham, UK — actively seeking Cloud / DevOps roles (remote & hybrid welcome).
Designed and implemented a real-time VPC network monitoring solution leveraging AWS Flow Logs and Python to identify anomalous traffic patterns and potential security breaches. Built automated CloudWatch alerting pipelines and visualisation dashboards for operational insight.
Designed and deployed containerised microservices on AWS ECS and EKS. Implemented full CI/CD pipelines using GitHub Actions and Jenkins, cutting deployment cycles by ~60%. Built Terraform IaC scripts covering multi-environment (dev / staging / prod) AWS provisioning including VPCs, RDS, auto-scaling groups, and S3.
Built a hardware-software integration layer for autonomous vehicle simulation using ROS middleware and MATLAB-based sensor processing. Integrated LiDAR point cloud data with real-time path planning algorithms, achieving sub-100ms obstacle avoidance response in complex virtual environments.
MSc Thesis. Real-time VPC monitoring engine using AWS Flow Logs and custom Python ML algorithms to classify anomalous network traffic and potential intrusion vectors. Features automated CloudWatch alerting and a live visualisation dashboard.
View RepositoryHardware-software bridge using Wireshark and AWS Cloud, Google Cloud for real-time obstacle avoidance in simulated environments. Integrated Docker, Kubernetes point-cloud data with path planning algorithms achieving reliable navigation in complex scenarios.
View RepositoryProduction-grade Kubernetes cluster on AWS EKS with Helm chart management, a Prometheus + Grafana monitoring stack, and automated HPA scaling policies. Achieved 35% cost reduction through resource optimisation and right-sizing.
View RepositoryModular Terraform framework for multi-environment AWS provisioning — VPC, subnets, security groups, EC2 auto-scaling, RDS, and S3. Remote state management via S3 backend with DynamoDB state locking and full GitOps workflow.
View RepositorySpecialisation: Cloud Computing & Distributed Systems. Thesis: Real-time Cloud Network Traffic Analysis for Anomaly Detection using AWS VPC Flow Logs and Python-based ML.
Core: software engineering, computer networks, operating systems, embedded systems. Final year project: autonomous robotics and LiDAR-based navigation.
Available for cloud engineering roles, DevOps consultancy, and collaborative projects.
Currently in Nottingham, UK — open to remote and hybrid opportunities worldwide.