Automated deployment processes to AWS using infrastructure as code (IaC).Developed and tested Pulumi Python scripts for infrastructure management on AWS and Azure.Created GitHub Actions workflows to streamline CI/CD pipelines.Automated the scanning of Docker containers for vulnerabilities and integrated alerts with OpsGenie for critical issues and system insights.Collaborated with cross-functional agile teams and contributed to various Ruby on Rails applications.Successfully completed tasks and resolved issues within sprint cycles in a Scrum environment.

Independently implemented and managed an Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) environment on Red Hat Enterprise Linux (RHEL) in both test and production environments, enabling efficient log analysis and monitoring.Designed and developed multiple automated pipelines using JRuby and other filters in Logstash to handle unstructured logs, parsing and transforming them into structured data for further analysis.Leveraged Docker to containerize ELK components, ensuring consistent deployments across different environments and minimizing infrastructure dependencies.Collaborated with the billing operations team to understand their requirements and implemented custom log analytics dashboards and visualizations in Kibana, providing valuable insights into system usage and identifying potential API abuse.Received commendation from the entire team, higher-level management, and senior engineers for exceptional contributions in optimizing the billing operations log system, resulting in improved efficiency, faster issue resolution, and enhanced operational effectiveness.

Developed a full-stack website for Nobel prize winning professor, Leland Hartwell, and his students. Leveraged React JS, Node JS, AWS technologies, Git, and modern design patterns to allow for experiment creation, storage, and collaboration among students.Utilized Python and Excel for data analysis, transforming raw experiment data into adjacency matrices and insightful visualizations. These analyses played a vital role in guiding data-driven decisions and achieving experiment milestones.

Wrote reusable software automation scripts in Powershell, Command Prompt and Python to silently update applications on more than a thousand college machines.

Used company troubleshooting resolution tree on ServiceNow and the vast knowledge of the internet to evaluate technical problems and find appropriate solutions.Provided prompt resolutions of end-user hardware and software issues.

Handled customer inquiries, answered questions, and resolved problems in a timely manner.Processed 100 cases each day and e-mailed documentation to clients on Salesforce.Collaborate with other ASU departments to provide outreach and guided tours of the residential halls to incoming students and their families.