Machine Learning Can Now Make Your CV Better, Try CV Compiler When You Apply For Your Next Job

The competition for jobs around the world is at an all-time high and having a good CV has become one of the most important and essential elements when applying for the job that you have been looking for. There are countless guides and videos on the internet that teach you how to make your CV better, but not a lot of good and reliable automated services that do it for you.

Today we take a look at the CV Compiler by Andrew Stetsenko and Alexandra Dosii, the creators of and GlossaryTech. The application is based on a machine learning algorithm that analyzes your CV and points out the weak sections in the draft, making recommendations on how to improve them and make the CV stand out and give you an edge above the competition.

The application is aimed at tech individuals looking for jobs in big companies like Apple, Google, Facebook, etc. and has information analyzed from over 1 million CVs from across the world. “The CV Compiler is designed exclusively for tech professionals. The online review technology scans for keywords from the world of programming and how they are used in the resume, relative to the best practices in the industry”, said Stetsenko.

We tried the CV Compiler and the results were at par and above our expectations. The application is extremely fast and has a simple UI. It scanned the resume we provided for bad content and showed how to replace it with better words and with overall recommendations on how to fix the entire CV so it would shine in the eyes of a recruiter and would not get immediately dismissed because it was repulsive and not engaging enough.

CV Compiler’s team, with the vast amount of experience they have in HR and marketing have made an exceptional application overall with the only big con being that it caters to tech professionals only.

Bill Wilson
Bill is a certified Microsoft Professional providing assistance to over 500 remotely connected employees and managing Windows 2008 to 2016 servers.