Nouman Rafique

Building an AI model using sound analysis and NLP to detect plant stress types like dehydration or damage. This project combines audio processing with machine learning for smart agriculture applications.

Developed a machine learning model to predict heart failure events using clinical data from patients. Performed comprehensive data preprocessing, exploratory analysis, and feature scaling, building an ANN with Keras, dropout, and early stopping. Achieved 80% test accuracy, validated through a detailed confusion matrix and classification report.

Collaborated on building a secure and automated CI/CD pipeline using Azure DevOps and GitLab. Integrated SAST tools like Snyk and OWASP ZAP for vulnerability scanning, ensuring secure deployments to AKS with Azure Key Vault, WAF, and monitoring via Azure Sentinel and Log Analytics. This project strengthened expertise in cloud security and DevSecOps practices.

Created Docker files and Docker Compose configurations for a containerized application, integrating them with Jenkins for CI/CD automation. Developed a script to automatically remove previous containers and images, ensuring clean deployments. Managed code and Docker images through GitHub for continuous integration and delivery.

Configured infrastructure with Terraform, including EC2 instances, security groups, and SSH key management for a MERN stack application. Organized MERN stack code and Docker setup in a GitHub repository for streamlined version control. Implemented a Jenkins CI/CD pipeline to automate deployments, utilizing Docker Compose for efficient container orchestration and seamless code updates.

Designed and deployed a static university website on AWS using Terraform, provisioning an S3 bucket for hosting. Configured the S3 bucket for static website hosting with appropriate bucket policies and access control. Automated infrastructure creation to ensure scalability and repeatability of deployment.

Developed a Bash script within Jenkins to automate the creation and management of Docker images and containers. This automation significantly streamlined deployment processes.

Currently pursuing a Bachelor's degree in Computer Science, focusing on foundational concepts and advanced topics. Gaining expertise in various areas of computer science, including software development and system architecture.

Completed Intermediate studies with a focus on Computer Science. Developed foundational knowledge in computing principles and related subjects.