🎯 Overview
The QLU Core Platform is a sophisticated AI-driven intelligence system that revolutionizes candidate research and company analysis. Built with GPT-like capabilities, the platform processes vast amounts of data from Elasticsearch backends to provide transparent, explainable insights that dramatically reduce research time and improve decision-making accuracy.
🚀 Key Technical Contributions
🤖 AI Integration & Skill Extraction
- Intelligent Skill Extraction: Built advanced skill extraction algorithms that analyze candidate profiles from Elasticsearch backend results
- Explainable AI Scoring: Implemented transparent scoring mechanisms that provide clear rationale for candidate matching and ranking
- Real-time AI Integration: Seamlessly integrated AI capabilities into the existing application architecture
- Server-Sent Events (SSE): Implemented SSE for streaming AI responses, providing real-time updates during processing
⚙️ Strategic Workflow Automation
- Intent-to-Workflow Engine: Developed strategy-making features that convert recruiter intent into reusable searches and automated workflows
- Dynamic Search Patterns: Created intelligent search pattern recognition that learns from user behavior
- Workflow Optimization: Built systems that streamline repetitive tasks into automated processes
🗄️ Database Architecture & Schema Design
- AI-Optimized Schema: Designed comprehensive database schema supporting:
- Prompts: User queries and system prompts
- Generations: AI-generated responses and analyses
- Runs: Execution tracking and performance metrics
- Sources: Data provenance and reference tracking
- Scalable Data Structure: Implemented efficient data models supporting high-volume concurrent operations
🎨 Dynamic Results & User Experience
- Adaptive Results Table: Built dynamic results table with columns that automatically adapt to data structure
- Reference Provenance: Implemented always-present reference column showing data source (web vs internal DB)
- Multi-Generation Navigation: Created intuitive back/forward card navigation for complex analysis flows
- Real-time Rendering: Developed consistent real-time rendering system driven from backend updates
🏗️ Technical Architecture
⚡ System Flow
Frontend Layer
React Dashboard → Real-time SSE → AI Processing Engine
Intelligence Layer
GPT-like AI → Skill Extraction → Explainable Scoring
Data Layer
Elasticsearch → PostgreSQL → External APIs
Stream Processing
User Query → AI Generation → Source Attribution → Real-time Results
📈 Impact & Results
⚡ Performance Improvements
- 25-30% Reduction in candidate research time through transparent matching
- 40-50% Faster time-to-insight on company research via streaming + provenance
- Significant Reduction in re-runs and clarifications due to transparent source attribution
🎯 User Experience Enhancements
- Transparent Decision Making: Users can see the source of every fact and recommendation
- Streamlined Workflows: Automated processes reduce manual intervention
- Real-time Insights: Streaming responses provide immediate feedback during analysis
🛡️ System Reliability
- Improved Accuracy: Explainable AI reduces false positives and improves trust
- Enhanced Provenance: Clear data lineage improves compliance and auditability
- Scalable Architecture: Robust foundation supporting enterprise-level usage
📸 Project Screenshots
💻 Technologies & Skills
🔧 Core Technologies
AI/ML: GPT-like processing, Machine Learning algorithms, Natural Language Processing
Backend: Node.js, Express.js, JavaScript
Database: PostgreSQL, Elasticsearch
Frontend: React, Real-time UI components
Streaming: Server-Sent Events (SSE), Real-time data processing
⭐ Specialized Skills
AI Integration: Large Language Model integration, Prompt engineering
Data Processing: Elasticsearch optimization, Large-scale data analysis
Real-time Systems: SSE implementation, Streaming data architecture
Database Design: Schema optimization, Multi-tenant data structures
🎯 Development Practices
Architecture: Microservices, Event-driven architecture, Scalable system design
Performance: Real-time optimization, Streaming data processing
Team Collaboration: 9+ member team coordination, Agile development
User Experience: Intuitive interface design, Transparent AI explanations
🎯 Business Impact
The QLU Core Platform represents a significant advancement in AI-powered recruitment technology, delivering measurable improvements in efficiency and accuracy. The combination of explainable AI, real-time streaming, and transparent data provenance creates a trusted, reliable system that enhances decision-making while dramatically reducing research time.
The platform's architecture supports enterprise-scale operations while maintaining the flexibility needed for diverse recruitment workflows, making it a cornerstone of modern talent acquisition technology.