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Resume

Brief

Just one-click writing resume service from Github with AI analysis

Problem

Many developers are suffering things that make their resumes got latest info. Whenever they make new projects, these works should be done.

It's also difficult to collect all projects information and make summary at all once because developers ususally works several projects in their dev life.

Is it all done? No, isn't. After rewriting their resume, they also find a job. Usually for verifying the developers satisfied the condition work together, company do interview the interviewer. So, developers should prepare interview, like listing some questions expected be asked in interview.

Environment

Resume and interview is be taken out from records. Developers usually use tools like Github and etc for manage their projects. And also they use platform to manage their portfolio, like linkedin.

Almost projects developed by developers be uploaded in Github. And just knowing connection with each developer, we can check their projects free if the project is public.

Company checks their resumes submitted by each applicant but also in resumes, there are some space writing url links like Github or linkedin for referencing developers projects. Company find more info in these references.

Service

We collect fragmented info inserted by user and with AI, update their resume latest by these informations. AI can help making the summary in these infos, and describe works in detailed based on code the developers wrote.

Target

Our target models are students or junior developments who have to write resume as soon as possible. Or they are going to write resume at first time. This service provide them resume with nice quality quickly and they starts rewriting resume from this.

Tech

Github provides API in public for getting user data. This time, user just put username using in Github. The server requests public repositories made by the user. And then codes in each repo should be transform into chunk size lower than token number limit by LLM. LLM train that chunk data and summarize data recursively from code to repo and user code style. Then server return a markdown-based resume.

Roadmap

We are going to add editor for user to edit or add contents to resume.
In point of Interviewer, they can access applicants infos by this service to find strength.
Accepting resumes having other form, it will be able to merge resumes in this service.
By the optimization, the cost will be reduced.