- Developed the pxGrid Direct Push API, a Docker-containerized REST API application in Go for free-formnetworking device data entry, supporting all CRUD operations, parallelized bulk execution, and data paginationfor integration into the overall ISE endpoint management environment- Developed pxGrid Direct, a Go application for free-form endpoint data retrieval and ingestion, by implementing log4j debug and audit logging, proxy compatibility, configuration management, and Oracle SQL databaseintegration for use with data stores like ServiceNow and other Configuration Management Databases- Enhanced components for endpoint profiling, access policy enforcement, data transfer, and Mobile Device Management integration in Cisco ISE, a Java-based Network Access Control solution- Resolved critical security vulnerabilities, including a telnet remote code execution (RCE) backdoor and client siderequest forgery (CSRF) front-end bug- Improved serviceability for customer-facing Cisco ISE profile servers, adding daily server heartbeat checks and a notification and log distribution system during outages- Resolved high-profile customer issues and bug-fixes on an ongoing basis- Implemented Java testNG unit tests and Selenium feature tests, integrated into the CI/CD pipeline

- Provides professional grade sound and light production for many events at Carnegie Mellon University such as dance showcases and concerts.- Co-leading the planning and execution of two large scale concerts each year.- Executive Board responsibilities include communication with event planners, managing organization finances, and maintaining the organization website.

- Collected vulnerable open-source applications and datasets for static analysis testing by aggregating relevant research papers and popular apps- Developed a program to extract flaws from the Juliet datasets and generate a complete mapping of flaws to file location- Analyzed the effectiveness of the Code Dx vulnerability detection software using the Juliet dataset

- Worked with other interns to create an Elasticsearch system that automatically processes and displays collected device log data- Focused primarily on data collection, data cleaning and automation via multiple Python scripts, Pandas DataFrames, and bash scripts