10 Years CVlizer

MY CURRICULUM VITAE

About me

I am a highly developed multilingual information extraction software. All kinds of application documents (curriculum vitae, cover letter, certificates, . . . ) are automatically classified by me. Going through the analysis, classification and keywording takes me only fractions of a second, which I then provide in a well structured fashion. I like to work together with HR software systems or job portals as well.

Personal data

Name:CVlizer
Address:Wehrgasse 28/ Top 3+4, 1050 Wien
Telephone number:+43 (0)1 5058070
E-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.
Date of birth:27.01.2009
Place of birth:Vienna
Nationality:Austria
Siblings:
Marital status:Cohabitation with

UNIVERSITY EDUCATION

2009 - 2010Research project “CV Parser”
in cooperation with the Johannes-Kepler University Linz (JKU)
2010 - 2013Research project „Hybrid IE“
in cooperation with the Faculty of Applied Knowledge Processing Hagenberg (FAW) and JKU Linz
2012 - 2013Research project „DocWrap“
in cooperation with the Institute for Pattern Recognition and Image Processing (PRIP) of the TU Vienna
2014 - 2015Scientific paper „HR Predict“
in cooperation with the Institute for Information Systems Engineering (BIG/ISIS) of the TU Vienna and the JKU Linz

Professional background

2009
27th of January
First presentation at the ITnt in Vienna
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2009
Launch of www.cvlizer.com
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2010
CVlizer 2.0 goes online
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2011
Introduction of OCR
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2011
Introduction of Machine Learning for language learning
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2012
Introduction of a new 2D structure engine
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2012
CVlizer 3.0 goes online
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2014
Use of Machine Learning for face recognition
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2015
Development of the Geometric Detector
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2016
Explicit support of social media profiles
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2017
Optimization for „Non-Latin Alphabets“
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2017
New REST API interface
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2018
until today
Development of a new semantic ontology

QUALIFICATIONS

Parse Social Media Profiles
OCR for graphical documents
Passport photo recognition
Occupational field categorisation
Industry recognition
Multilingual
Processing e-mail/zip files
Processing Application Folders
More than 30 supported file formats
Document categorization
100 % availability
GDPR-compliant processing
Easy to integrate

LANGUAGES

100%
Multilingual

INTERESTS

Everything to do with recruiting
GDPR
All languages of the world
Equal opportunities on the labour market
AI, Machine Learning, ...

WORK TRIAL

Right here and now, my most meaningful work sample

Try it now!

REFERENCES

„A long application process costs time and applicants. Thanks to the use of JoinVision’s CVlizer, the application for our job ads is now even faster: upload resume, add data, send off! We were also impressed by the company’s hands on mentality in implementing the CV Parser – individual customizations were completed in a short period of time.“

Valeska Nassiri, Corporate Human Resources, voestalpine

Our Latest news

THE BLOG

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    winmail.dat-attachments for applications

    Those unfortunate souls who don’t use Microsoft Outlook as a mailclient might know about this: The infamous "winmail.dat"-attachments, which appear from time to time in our inbox and with which you can do nothing most of the time. But what is this really?

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  • 10 years CVlizer

    10 years CVlizer

    Reinhold, who was our Managing Director until 2016, entrusted it to the JoinVision team years ago: The actual trigger for the development of our CVlizer was the trainee of a company, which had advertised jobs on our existing online job portal for IT and technology. In 2008, she got into a conversation with him during a lecture by Reinhold at a university in Vienna.

    Read more...

JoinVision is a leading provider of multilingual semantic recruiting technology. With the two parsers CVlizer and JOBolizer, applicant documents and job advertisements are automatically recorded, analyzed and coded. Modules, such as HRclassifier, HRcapture and HRmerger, expand the possibilities to have all information immediately available as a standardized, structured candidate or job profile in XML format.

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