Laurel, Maryland, United States
• Enhanced UI for tagging a binary file in a malware analysis tool using Python and Django framework, improving user experience by streamlining the process, implemented access controls, restricting category modifications and new additions to administrators, and preventing the addition of blank tags.
• Implemented a new REST API endpoint to gather targeted information for tagging, enhancing the tool's capabilities in extracting specific data.
• Contributed to the integration of custom services, enabling users to add their own services to the malware analysis tool, and helped author comprehensive documentation for users to seamlessly integrate new services.
• Designed and prototyped a UI redesign, demonstrating improved aesthetics and user interface enhancements for the malware analysis tool.
• Significantly enhanced webpage performance by optimizing binary job loading, reducing time from 8 seconds to a rapid 0.0700 seconds—achieving a remarkable 114x increase in loading speed.