Web Application
Todo App
Clean JavaScript task manager with filtering and local persistence.
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Overview
A resume analysis API built with Python and FastAPI that extracts text from PDF and DOCX resumes, detects skills and scores candidates automatically. Deployed on a Linux VPS using Nginx and PM2.
Problem or Opportunity
Manual resume screening is slow and inconsistent, especially when teams need to compare candidates against role-specific skill requirements.
Proposed Solution
The platform parses documents, extracts structured candidate data, identifies relevant skills and supports automated scoring workflows through a production-ready API.
Key Capabilities
- PDF and DOCX text extraction
- Skill detection and structured parsing
- Automated candidate scoring
- REST API for integration with hiring workflows
- Production deployment with Nginx and PM2
Architecture and Workflow
FastAPI handles document upload and parsing pipelines. Extracted data is processed for skill matching and scoring. Nginx reverse-proxies requests while PM2 manages process reliability on the VPS.
Security Considerations
- Secure handling of uploaded candidate documents
- Input validation for file types and sizes
- API-level error handling without data leakage
Challenges and Decisions
- Handling varied resume formats reliably
- Designing scoring that remains transparent and adjustable
- Deploying for stable production use on a VPS
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