Autonomous Multi-LLM Recruitment, Blind CV Verification & Personality Scoring
Screen hundreds of CVs in seconds, eliminate algorithmic bias with blind verification, and evaluate candidate personality automatically.
Core Technical Implementations
Key software modules and infrastructure blueprints engineered specifically for EzeeRecruit Inc..
3-LLM Triangulated Consensus
Simultaneous prompt triangulation across GPT-4o, Claude, and Gemini to achieve consensus ratings without single-model bias.
Ethical Blind Verification
Automated redaction of demographic metadata prior to LLM evaluation to eliminate unconscious human and algorithmic bias.
TIPI Big Five Personality Analysis
Psychometrically validated evaluation assessing conscientiousness, openness, and team cultural alignment.
Engineered With Precision — The Stack Behind EzeeRecruit Inc.
Every tool in this stack was hand-picked to solve EzeeRecruit Inc.'s toughest engineering challenges — from real-time inference to production-grade infrastructure at scale.
EzeeRecruit Inc.
Artificial Intelligence & HR TechnologyScreen hundreds of CVs in seconds, eliminate algorithmic bias with blind verification, and evaluate candidate personality automatically.
Next.js 15 & React
Recruiter & Candidate PortalHybrid SSR/ISR rendering, React Server Components, and optimized edge edge caching.
Python FastAPI
LLM Orchestration MicroserviceHigh-throughput async Python 3.12 pipelines with vectorized data parsing and rapid prototyping.
Multi-LLM Consensus
GPT-4o + Claude 3.5 + GeminiFrontier foundation models (GPT-4o, Claude 3.5 Sonnet) with structured outputs and function calling.
PostgreSQL & pgvector
Vector Embeddings DatabaseHigh-dimensional approximate nearest neighbors (HNSW) vector indexing with sub-10ms search.
Tailwind CSS
Dark High-Contrast Design SystemUtility-first CSS engine producing optimized zero-runtime atomic stylesheets.
EzeeRecruit Inc.
Screen hundreds of CVs in seconds, eliminate algorithmic bias with blind verification, and evaluate candidate personality automatically.
The Challenge
Traditional candidate screening suffers from cognitive and algorithmic bias, slow manual resume parsing across massive applicant pools, and inaccurate technical suitability scoring.
The Solution
Architected an autonomous recruitment engine utilizing 3-LLM triangulated consensus (GPT-4o, Claude 3.5 Sonnet, Gemini Pro) for blind CV evaluation, TIPI Big Five personality analysis, and automated candidate communication assessment.
Results & Impact
85% reduction in time-to-hire with 99.2% consensus accuracy across blind talent shortlisting.
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