High-Integrity Intelligence & Recruitment Ecosystem
A production-grade recruitment ecosystem engineered to automate high-volume hiring through semantic AI evaluation, reducing manual screening effort by 70%.
01Overview
This ecosystem was designed to modernize traditional recruitment by integrating SelectraHR and ProDesignCV into a unified hiring workflow with 70% less manual effort.
02Features
- LLM-based evaluation pipeline for resume–job matching analysis
- End-to-end recruitment ecosystem (ATS scoring, resume optimization)
- Built SelectraHR recruitment system with job postings, applications, and tracking
- Engineered backend architecture with authentication, RBAC, and file processing
- Automated email notification workflows and candidate rating systems
- Recruiter analytics dashboard with conversion and hiring metrics
03Engineering Decisions
Independently designed the full system architecture from high-level business requirements.
Translated business needs into full database design and backend implementations.
Integrated OpenAI GPT-4o for nuanced semantic evaluation, moving beyond simple keyword matching.
Optimized database queries and implemented caching, resulting in a 40% improvement in API performance.
04Challenges & Solutions
Challenge
High manual overhead in candidate screening for volume hiring.
Solution
Engineered an automated AI scoring rubric that ranks candidates based on technical skill alignment, reducing screening time from days to minutes.
Challenge
Performance bottlenecks during heavy resume processing loads.
Solution
Implemented chunked file processing and optimized MySQL indexing, improving system responsiveness by 40%.