01 / CONTEXT
The problem to solve
Explore how unstructured resumes can be prepared and parsed into structured candidate information.
02 / ENGINEERING
From need to system
- Review resume-parsing research and existing datasets.
- Prepare and clean resume data for experimentation.
- Explore named-entity recognition and classification approaches.
- Treat the work as an internship-era prototype, not a current recruiting product.
03 / DESIGN DECISION
A meaningful choice
Focus the internship exploration on the data and entity-extraction foundations behind resume parsing.
04 / EVIDENCE AND LIMITATIONS
What is actually documented
The private repository contains resume datasets, a preparation notebook, research references and an entity-recognition artifact. This portfolio description is based on those materials and the internship context; no benchmark is presented as independently validated.
05 / NEXT VALIDATIONS
How I would strengthen the proof
- Keep source CV data private and out of public examples.
- Reproduce the preprocessing with synthetic or consented records.
- Document evaluation methodology before reporting metrics.
These are planned validation steps, not already measured results.