HR
Team Expansion & HR Analytics
Client
Leading HR & Workforce Management Provider
Industry
Human Resource Management
Services
HR Tech
Duration
Enterprise Grade
Executive Summary
Engineering resilience through Leading HR & Workforce Management Provider's transformation.
The hiring process struggled to evaluate unstructured resumes effectively, requiring a method for better job-role alignment and behavioral assessment. CleaLeaff developed a two-phase preprocessing method to rank resume data and built a vector database for similarity searches.
Scaling Talent Acquisition
- Evaluate resumes effectively for better role alignment.
- Standardize analysis of unstructured resume data.
- Assess candidate engagement and focus during interviews.
- Structure talent pool with sophisticated parsing algorithms.
Multi-Modal AI Pipeline
- Developed two-phase preprocessing with prompt engineering.
- Built vector database for fast similarity searches.
- Used OpenCV and YOLO for head/iris focus detection.
- Deployed LLMs on GCP Compute Engine for scalability.
Measurable Outcomes
Measurable Impact
90%
Resume Structuring Success
2-3 mins
Processing Time per Candidate
85%
Interview Focus Accuracy
Data-Driven Hiring
The system successfully structured the talent pool with 90% accuracy and reduced processing time to just 2-3 minutes. Valuable behavioral insights from interview tracking helped recruiters assess professionalism more accurately.
Technical Stack
Google Cloud PlatformLLMsPythonNLPVector DatabaseOpenCVYolo Model
Core Disciplines
HR TechAnalyticsComputer Vision
