An end-to-end HR and recruitment suite that lets recruiters post jobs, screen applicants with AI, and run automated interviews with Sara, the AI interviewer.
A recruitment system designed to remove manual screening from the hiring loop
Recruiters create roles with custom application forms, candidates apply through a public job board, the system scores applicants with AI, and shortlisted candidates are invited into Sara-led interviews.
A unified platform merging the job board, form builder, candidate filtering, interview workflow, and recruiter dashboard into one production-minded system.
Cuts down repetitive screening work, standardizes candidate evaluation, and gives hiring teams a faster, more consistent decision pipeline.
How the product came together from scattered prototypes into one hiring flow
Merged the earlier recruitment, form, and interview experiments into one product direction before adding more features.
Created the public-facing layer for jobs, candidate browsing, and custom application forms.
Implemented automated scoring so recruiters can shortlist applicants without reading every application manually.
Connected the interview flow and dashboard so recruiters can move from shortlist to structured AI-led interviews.
Recruitment features built around automation and AI
Recruiters define role-specific questions and collect structured candidate data alongside CV uploads.
Applications are scored against role criteria to shortlist the strongest matches before human review.
Shortlisted candidates are invited into automated interviews with an AI interviewer that asks, evaluates, and logs feedback.
The workflow sends interview invitations and keeps candidates moving without manual coordination.
Hiring teams review candidate scores, interview outcomes, and final recommendations from one dashboard.
Earlier prototypes were consolidated into a single product direction to reduce fragmentation and improve maintainability.
How the recruiter experience, AI logic, and backend services connect
A recruiter dashboard, job board, and candidate flow keep the UI focused on action rather than admin complexity.
The screening logic converts forms and CV data into a simple ranking step before moving into interview automation.
FastAPI, PostgreSQL, Redis, JWT auth, and email automation support the product beneath the UI layer.
A short walkthrough of the recruitment product in motion
The flow moves from job creation to AI scoring and finally to an interview-ready shortlist, showing how recruiters can keep the process moving with less manual effort.
Modern web and backend tools used in the platform
What changed for the recruiter and the candidate experience
A fragmented set of experiments became one coherent product path that was easier to maintain and explain.
Recruiters can now move from posting to screening to interviewing without jumping between disconnected tools.
Sara handles the repetitive interview step so the team can focus on final decisions rather than coordination.
A practical foundation for an AI-first hiring workflow
I can help take the idea from workflow design to deployment.