Roopam Dhawan

Led customer engagements handling 150+ cases monthly and directed secure operations for 200+ cloud environments, improving service efficiency and reducing escalations by 40% while reducing MTTR by 30% through automated detection workflows and incident playbooks.

Maintained and secured containerized hybrid-cloud environments (OpenShift), implemented log collection and anomaly detection, and performed RCA to resolve performance and security incidents to ensure high availability and stability.

Administered IBM Information Server on cloud for subscription-managed offerings, developed monitoring dashboards and detection logic for access control violations, and coordinated cross-timezone investigations for high-severity incidents.

Evaluated and selected monitoring tools and implemented observability solutions for 150+ IBM Cloud environments, achieving 99.9% uptime through dashboards, correlation rules, and automated alerts to enhance proactive detection.

Analyzed user requirements and developed complex SQL queries and custom reports to extract and present accurate enterprise data, improving stakeholder decision-making by reducing reporting errors and refining query performance.

Led a team of 6 ETL/BI engineers to design and optimize end-to-end ETL solutions, automating data integration and reporting to improve efficiency, accuracy, and scalability across enterprise workflows.

Activities and societies: Dissertation on Format-Preserving Encryption for LLM privacy; projects on smart meter security, app security, ICS segmentation, and governance compliance.

Pursuing MSc in Information Security with research on privacy-preserving techniques for LLM security and regulatory compliance.

Completed MSc in Computer Science focusing on advanced computing topics and foundational research.

Completed Bachelor of Science in Computer Science covering programming, systems, and software fundamentals.