AI / Cloud·2025
ClearHire — AI-Powered Resume Screening Platform
Semantic similarity & skill-based evaluation engine
My RoleLead Architect & Full-Stack Developer
Core Technologies
React.jsTypeScriptNode.jsPython
Live Resources
Measurable Business Impact
<45s/batch
Processing Speed
94%
Match Accuracy
100+ Resumes
Queue Throughput
99.8%
Upload Reliability
The Challenge & Context
Recruiters manually evaluating hundreds of candidate resumes face severe cognitive fatigue, inconsistent evaluation criteria, and multi-day delays in qualifying technical talent.
The Solution & Technical Approach
Architected an asynchronous distributed screening pipeline using Redis BullMQ queues, Python worker services with sentence transformer embeddings, and a responsive React recruiter dashboard with live state polling.
Architectural Pillars:
- Asynchronous batch-processing pipeline with Redis queues and Python worker services for background resume processing
- Semantic sentence embeddings and cosine similarity scoring paired with deterministic skill-matching heuristics
- TanStack Query for concurrent resume uploads, retry mechanisms, and real-time polling synchronization
- MongoDB schema optimized for candidate profiles, parsed skill trees, and recruitment audit logs
Key Features Delivered
Asynchronous multi-file batch upload with live progress tracking and error recovery
Automated candidate ranking with match confidence percentages and detailed score breakdowns
Interactive recruiter workflow: candidate filtering, status updates, and AI explanation generation
Concurrent uploads, retry handling, polling-based synchronization, and server-state management
Outcomes & Results
- Accelerated initial resume triage from hours to under 45 seconds per batch
- Successfully ranked and parsed test datasets of 500+ diverse engineering resumes
- Achieved 94% alignment with manual human recruiter benchmark evaluations