Reslift

Overview

Reslift is an AI-powered resume tailoring platform built around a reusable "Master Bullet Bank." Users store their work and project history once, and the AI selects and rewrites the most relevant bullets against a specific job description each time they apply — optimizing for ATS keyword match rather than generic formatting.

The problem

Job applicants — students and new grads especially — were rewriting the same resume content by hand for every application, guessing at what an ATS actually wanted to see. Existing tools like Resume.io and Zety solved formatting, not relevance: nobody was helping people tailor content to a specific job quickly and well.

The approach

I designed a data model that turns unstructured resume and job-description text into structured, queryable experience records, then built the product on top of it end to end, solo:

• ›A two-stage ingestion pipeline: PDF.js extracts raw resume text with no AI cost, then a dedicated AI call structures that text into categorized experience and bullet records, auto-populating the bullet bank.
• ›A rewriting engine tuned to avoid generic "sounds like AI" output — an explicit blacklist of clichéd phrasing, instructions to match the candidate's own voice, and a self-check step the model runs before returning results.
• ›One-time, multi-currency access passes instead of a subscription, positioned deliberately against subscription fatigue.
• ›Native PDF export, full auth, and Stripe billing, shipped alongside a tested go-to-market push across founder and job-seeker communities — adjusting channel strategy once organic reach proved limited.

The outcome

Reslift went from an identified problem to a fully working, live product: a structured data model, an AI pipeline tuned for a real user-facing writing task rather than a demo, multi-currency billing, native PDF export, and independently tested distribution channels — designed, built, and shipped solo end to end.