Grounded SHL recommendations.Delivered like a premium AI workspace.
HireSense AI transforms recruiter conversations into catalog-backed assessment recommendations with a stateless FastAPI backend, hybrid retrieval, and a polished SaaS interface.
Recommend assessments for a senior Java backend engineer under 40 minutes.
Top catalog-backed matches
A serious interface for serious hiring decisions.
HireSense AI combines beautiful interaction design with retrieval and validation choices that senior engineers can defend.
Conversational intake
Turn vague hiring conversations into structured assessment requirements without forcing recruiters into forms.
Catalog-grounded outputs
Recommendation names, URLs, and test metadata stay anchored to trusted SHL catalog records.
Hybrid evidence layer
Semantic retrieval, lexical matching, metadata scoring, and RRF work together before recommendations appear.
Premium decision surface
Interactive recommendation cards make assessment selection feel clear, confident, and recruiter-ready.
Designed to look credible before the first demo click.
Docs-ready placeholder assets are included for screenshots, architecture diagrams, and demos.
A transparent pipeline from prompt to recommendation.
The product page gives interviewers and reviewers a fast way to understand the system without reading backend code.
Recommendation pipeline
Conversation context, query expansion, hybrid retrieval, RRF, ranking, and validated cards.
Conversation signal
The interface frames role intent, constraints, refinements, and comparison requests as structured product signals.
Evidence retrieval
Semantic, lexical, metadata, and rank-fusion layers collect and order candidate assessments.
Catalog safety
Assessment names and URLs are treated as trusted data, not generated prose.
Decision surface
The UI translates dense retrieval evidence into beautiful, actionable recommendation cards.
Modern frontend, production backend, retrieval-first intelligence.
The release surface highlights both product craft and engineering depth.
Grounded
Every recommendation is designed to stay tied to the SHL catalog and deployment contract.
Fast
The frontend is statically optimized and the backend uses prebuilt retrieval artifacts.
Defensible
Architecture, evaluation, and product design choices are easy to explain in technical interviews.
Launch the product or inspect the system design.
The frontend is polished for portfolio review, while the backend remains deployed and untouched behind the production API contract.