Backend · Automation
ResumeTailor
Tailors a real resume to a job post — reorders, never fabricates
The problem
Generic resume tailoring tools invent content to match a job description. This one only reorders what's already true: given a job description, it resequences the Technical Skills list and each entry's bullets by relevance, fills a real LaTeX template, and drafts a matching cover letter — without ever adding a skill or claim that isn't already in the source data.
What I built
Built a resume-tailoring tool that reorders real experience by job relevance — never invents a skill or claim.
Automated LaTeX generation to match a real Overleaf resume template exactly, with no local LaTeX install required.
Wrote regression tests that assert fabricated "bait" keywords (Django, Cursor, LangChain) never leak into generated output.
Impact
0
fabricated skills or claims — ever
4
bait keywords tested against in regression tests
<300
words per generated cover letter