Our in-house Applicant Tracking System has been running for a while, but several pain points are slowing the team down and making data audits harder than they should be. I want to tackle three fronts at once: a cleaner, more intuitive user interface, richer ad-hoc and scheduled reporting, and a smarter candidate search that returns pinpoint-accurate matches in a snap. At the moment we are battling noticeably slow performance and recurrent data inaccuracies. In particular, security issues are the area where performance improvements will matter most; any optimisation must keep data protected and compliant while boosting speed. Here is what I need delivered: • Redesigned UI screens (Figma or similar) implemented directly in the current tech stack. • Refactored search module with faster query times and advanced filtering. • Robust reporting dashboards plus export options (CSV, PDF). • Validation routines or checks that eliminate the data mismatches we now see in candidate profiles and hiring metrics. • A short test plan confirming that load times, data integrity and security objectives are met. Code is stored in our private Git repo; you will branch, commit, and open a pull request so we can review changes. Please be comfortable working with standard ATS technologies (Python/Django backend, PostgreSQL, React front-end) and be ready to walk me through your approach before diving into code.