Abrar Mian

Designed and automated Infrastructure-as-Code (IaC) deployments using Terraform and
CloudFormation StackSets, enabling 100% standardized provisioning across 20+ AWS accounts in
IL4/IL5 environments.
Developed Lambda and Python automation for security agent posture reporting (CrowdStrike,
Nessus, CloudWatch, SSM), centralizing data across 15+ accounts and improving compliance
visibility by 35%.
Implemented and managed containerized workloads in Amazon EKS, leveraging GitLab pipelines for
CI/CD automation and reducing deployment cycle times by 35% across multiple environments.
Orchestrated EKS infrastructure using AWS CDK, implementing autoscaling policies, pod security
standards, and cost optimization strategies that reduced cloud spend by 15% while maintaining high
availability.
Collaborated with product and security teams to streamline Kubernetes deployment workflows,
automating 10+ access and RBAC configurations through GitHub Actions pipelines and reducing
service request turnaround by 50%.

Worked full-time throughout all semesters as a co-op on the Cloud Platform Engineering team for HXM
Solutions.
Developed and maintained application features to enhance engineering productivity, reducing
deployment times by 30% through automation and CI/CD optimizations.
Designed and implemented comprehensive observability for EKS workloads using Prometheus and
Grafana, creating custom dashboards for pod metrics, cluster health, and application performance
monitoring.
Led the automation of log management and system monitoring using Prometheus and Grafana,
decreasing incident resolution time by 25%.
Collaborated with DevOps and engineering teams to optimize cloud infrastructure costs,
implementing autoscaling and reserved instance strategies to reduce expenses by 15%.
Technologies: Terraform, Ansible, AWS, Docker, Kubernetes, Jenkins, Git, Prometheus, Grafana, Bash,
Python

Served as a full-time co-op with the Advanced Analytics Team for the Mindsphere Industrial IoT Solution,
focusing on full-stack development.
Built GitOps-driven CI/CD pipelines using GitLab CI/CD for automated container builds, Kubernetes
deployments, and progressive rollouts, reducing deployment cycles by 50%.
Built React-based dashboards and web applications, improving engineering productivity by
automating status reporting and reducing manual updates.
Enhanced application monitoring and alerting by integrating Prometheus and Grafana dashboards,
reducing system downtime by 20%.
Developed Helm charts and Kubernetes manifests for standardized application deployment, enabling
consistent configurations across development, staging, and production environments.
Technologies: AWS, ReactJS, Java, JavaScript, Kubernetes, Jira, Git, Spring Boot, JUnit, Selenium, GitLab
CI/CD

Database security optimization, application development, and IT support for healthcare systems.
Developed internal web applications using Java Spring Boot and React to streamline patient data
management workflows, reducing manual processing time by 30% for healthcare staff while ensuring
HIPAA compliance.
Optimized MySQL and Azure SQL databases by implementing encryption and access control
measures, improving query performance by 25% and built automated data validation tools using
Python that reduced injection risks and manual errors by 40%.
Contributed to CI/CD pipeline improvements using Jenkins for automated testing and deployment of
containerized healthcare applications to Azure Kubernetes Service (AKS) environments, supporting
cloud migration initiatives.
Participated in Agile sprint ceremonies with cross-functional IT teams, implemented automated
testing using JUnit to improve code reliability by 35%, and assisted in database migration projects
with SQL scripts for seamless cloud transitions.