Resumaker is a tool that creates ATS-friendly, professionally formatted, multiple, and multi-targeted resumes from a single YAML file. Write down all the details and let Resumaker handle the formatting and structuring.
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Resumaker
Resumaker is a tool that creates ATS-friendly, professionally formatted,
multiple, and multi-targeted resumes from a single YAML file. Write down all the
details and let Resumaker handle the formatting and structuring.
Let's assume you know Python and JS, and you're applying to two different
companies for two different roles. You'll need to have a different resume for
each option. It can be counterproductive to manually write LaTeX code or use an
office suite like Word or LibreOffice Writer to write your resume. Instead,
write all the information in a YAML file, and Resumaker will create six resumes
for you, nicely formatted and ATS-friendly.
See quickstart.
Disclaimer
This is a pre-release version and the current template is intended for software
engineers and has the following fields:
- Name, Location, Professional Summary, Education, Skills, Work Experience,
Projects, and Links.
Installation
Install resumaker with pip.
Requirements
You also need the following TeX packages:
parskip, array, ifthen, graphicx, ebgaramond, hyperref
For Fedora, run:
| sudo dnf install texlive-scheme-basic texlive-parskip texlive-ebgaramond
|
For Ubuntu, run:
| sudo apt install texlive-latex-base texlive-latex-extra texlive-fonts-recommended texlive-fonts-extra
|
If you face any package issues, please download the package for your system and
create a pull request to include the package name above. If you use another
distribution, please search with your package manager and consider contributing
by adding the package name to the list above.
Quickstart
You need a YAML file to write the details. This file can be categorized into two
parts:
Common Part
The fields are common to all resumes:
- name, location, contact, education, links
Targeted Part
This will be different for each resume:
- summary, skills, work experience, projects
From the following resume.yml, two PDFs will be created: testuser-swe.pdf
and testuser-machine_learning.pdf by running:
Note: You need to escape %, :, $ among other things as these have
special meaning in YAML, Tex.
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128 | # common fields
name: Test User
location: Fake City, India
contact:
email: test.user@example.com
phone: +91 12345 67890 # make sure to include country code
linkedin: sujaudd1n # only username
github: sujaudd1n # only username
education:
- name: XYZ University
location: ABC City, India
duration: 2010 - 2014
degree: Bachelor of Technology in Computer Science
achievements:
- 'GPA: 3.5/10 (I was going for 9, but pizza happened)' # in '' because in yml you have to escape :
- University Topper in going late
- Published Research Paper which 12 people have read, including me
- name: PQR Institute
location: DEF City, India
duration: 2014 - 2016
degree: Master of Technology in Artificial Intelligence
achievements:
- Research Assistant
- Filed Patent, Now I Just Need to Remember What It Was For
links:
algorithms:
- name: Leetcode
url: https://leetcode.com/sujaudd1n
url_text: leetcode.com/sujaudd1n
open-source:
- name: Github
url: https://github.com/sujaudd1n
url_text: github.com/sujaudd1n
swe:
summary:
title: Senior Software Engineer
text: >
Meet the software engineer who learned the value of TDD from a very special teacher:
Murphy's Law. After a memorable SaaS meltdown in production, I learned to test before
I deploy. Now, my code works, and my blood pressure thanks me.
skills:
languages: [Go, Come, Python, C++]
libraries: [Jango, Reaction]
databases: [OurSQL, PostgreSQL, MangoDB]
work_experience:
- company-name: ABC Corporation
location: Fake City, India
role: Software Engineer
duration: 2016 - 2018
contributions:
- Developed a machine learning model for image classification for cat and not-cat
- Improved search engine performance by 2.18\%
- Collaborated on a new feature launch
- company-name: DEF Startups
location: ABC City, India
role: Software Engineer
duration: 2018 - 2020
contributions:
- Built a real-time analytics dashboard to watching numbers move in real-time
- Enhanced payment gateway reliability from "it usually works" to "it almost always works"
- Launched a new feature with the team in one night and most of tests failed in the morning
projects:
- name: Project Alpha
techstack: [Python, Django, MySQL]
details:
- Developed a web application for e-commerce where you can buy things
- Implemented a secure payment gateway...yes, your money is safe, ig
- Deployed on a cloud platform aka rented computers
- name: Project Beta
techstack: [Java, Spring, MongoDB]
details:
- Created a mobile app for social media because the world needed another one, right?
- Designed a functional chatbot
- Successfully deployed on a cloud platform
machine_learning:
summary:
title: Senior Machine Learning Engineer
text: Making computers solve complex problems, one model at a time. Currently, they're smarter than me, but that's not saying much.
skills:
languages: [Python, R, Julia, thinking about learning lisp to feel better]
libraries: [TensorFlow, PyTorch, scikit-learn]
databases: [MySQL, PostgreSQL, MongoDB]
work_experience:
- company-name: GHI Research
role: Machine Learning Engineer
duration: 2020 - 2022
location: Fake City, India
contributions:
- Developed an NLP model with high accuracy
- Launched a new product with the research team
- Improved computer vision model performance, now it can see me coming... to the fridge
- company-name: JKL Labs
role: Machine Learning Engineer
duration: 2018 - 2020
location: ABC City, India
contributions:
- Built a recommender system with strong results
- Successfully built something.
- Enhanced some models, and now they perform their job better than before
projects:
- name: Project Gamma
techstack: [Python, PyTorch, MongoDB]
details:
- Developed a time series forecasting model
- Deployed on a cloud platform with high uptime
- Achieved 90\% accuracy, on a good day, with the wind in my favor
- name: Project Delta
techstack: [R, TensorFlow, MySQL]
details:
- Created a clustering analysis model for categorizing my mental health.
- Deployed on a cloud platform with good performance, no complaints so far
- Reached 85\% accuracy, close enough, right? Right?!
# these are mostly fake data
|
Configuration
This is a pre-release, so minimal configurations are provided.
Configs should be in a file called config.yml and it should be a dictionary.
Valid keys:
RESUME_FILENAME: The default filename to look for if you run resumaker
with no options.ORDER: The ordering of resume sections.
Sample config.yml:
| RESUME_FILENAME: [my-resume.yml]
ORDER : [summary, skills, education, work_experience, projects, links]
|
License
resumaker is distributed under the terms of the
MIT license.