An AI-powered resume builder that helps users generate, customise and export professional resumes.
Many job seekers struggle to create resumes tailored to specific roles. Staring at a blank page and rewording the same bullet points for every application is slow and it is easy to undersell relevant experience.
The AI Resume Builder provides an intuitive interface for creating resumes with smart suggestions, templates and export options. Users paste in a job description and their existing experience and the app suggests tailored bullet points they can accept, edit, or discard.
Built the frontend and the AI-suggestion integration, including the prompt design used to generate resume content and the live-preview editor.
AI-powered content suggestions
Generates tailored bullet points and summaries based on the target job description and the user’s existing experience.
Multiple resume templates
A gallery of print-ready templates that keep formatting consistent while content is edited.
PDF export
One-click export to a polished, ATS-friendly PDF.
Live resume preview
Edits in the form update the rendered resume instantly, so users always see the final layout as they write.
Built a flexible editor system capable of handling multiple resume layouts by separating resume content from presentation, so a template swap never touches the underlying data.
Used the OpenAI API for content suggestions with a constrained prompt format, which kept generated text on-brand and easy to validate before insertion.
The interesting part wasn't just building the features. It was figuring out how to make them work reliably, efficiently, and at a scale that wouldn't compromise the experience.
Handling multiple resume layouts without duplicating content logic
Modeled resume content as structured data independent of any single template and rendered each template as a pure function of that data, which made adding new templates a purely visual exercise.
Keeping AI suggestions relevant instead of generic
Refined the prompt to require the job description and existing bullet points as context, then post-processed suggestions to strip filler language before showing them to the user.
The tool has helped users tailor resumes to specific postings in minutes instead of hours, with the live preview and template system praised for making the final document feel polished without design skills.
Constraining the prompt with explicit context — the job description and the user’s existing bullet points — did more for output quality than any amount of prompt "cleverness" on its own.
Separating content from presentation early meant new templates became a design task, not an engineering one, which turned out to matter a lot once the template gallery started growing.
Like what you see? There's more where that came from.
Every build starts as a rough idea and a two-line email — send yours over and let's see where it goes.