Redrob Resume Matching Engine

Standard-library Python solution for the Redrob AI Campus Hackathon resume matching task.

The program:

• normalizes noisy skill strings with the provided alias mapping
• deduplicates canonical skills per resume
• builds an alphabetically sorted vocabulary from resume skills only
• computes resume TF-IDF vectors with TF = 1 / unique_resume_skills and IDF = ln(10 / df)
• builds binary JD vectors over the same vocabulary
• ranks candidates by cosine similarity, breaking ties alphabetically

Run

python3 resume_matcher.py

Verified Results

JD-1 - Kakao (ML Engineer) Sneha Patel(0.57), Karan Mehta(0.53), Arjun Sharma(0.40)
JD-2 - Naver (Backend Engineer) Rahul Gupta(0.81), Ananya Krishnan(0.28), Deepika Rao(0.19)
JD-3 - Line (Frontend Engineer) Aditya Kumar(0.67), Priya Nair(0.58), Ananya Krishnan(0.35)

Files

• resume_matcher.py: complete implementation with embedded dataset and alias map
• .gitignore: excludes local/cache files and submission notes