Reuven Livneh

Reuven Livneh has a diverse work experience spanning various roles and industries.

Starting in 2010, they worked as a math and computers teacher at a high school in Israel until 2012.

In 2013, Livneh began working as a professional freelancer, developing Android applications for private customers and creating a PHP application for reading and analyzing marketing/news texts. Reuven continued freelancing until 2015.

In 2016, Livneh worked as a PHP developer for Sadel-Tech and as a PHP developer for Amadeus Israel (as NESS employee).

From January to December 2017, they worked as a developer at videoBot.

In 2019, Livneh had a role as an intern at DSP Group, where they implemented the resNet model for small hardware devices. Reuven also worked on converting neural network graphs and weights from TensorFlow to in-house tools.

Later in 2019, they worked as a data scientist at PrintSyst.

From 2020 to 2023, Livneh worked as a data scientist at Bank Hapoalim, where they developed code quality and testing reports, implemented ML models for predicting team assignments, and worked on continuous integration and delivery processes.

In 2022, they worked as a data scientist and backend developer at Cloudyo.io, where they developed search engine functionality.

Most recently, in 2023, Livneh worked as an NLP data scientist at HeadOn PR Ltd. Reuven conducted NLP analysis of posts from the Philippines police, performed name-entity recognition, relation extraction, reference resolution, and sentiment analysis. Reuven compared the results with a paid API NLP service and demonstrated better results.

Reuven Livneh has a diverse education history. Reuven completed their Bachelor of Science degree in Mathematics and Computer Science at Ben Gurion University from 1977 to 1981. Prior to that, from 1970 to 1974, they attended Ort Yad Singalovski High School, where they studied Electronics. In 2009 to 2010, they studied at Michlelet Himnir Hakibbutzim, focusing on information security management and computerized maintenance systems. In 2012, they completed a program at CodeBlue Hackers Academy, specializing in PHP. The following year, from 2013 to 2014, they studied HTML5, Android, and iPhone at Miktam D'At HaSharon School. In 2015 to 2016, they attended Picscout to improve their abilities in some professional areas. From 2016 to 2017, they pursued Web full stack development at misterBIT, Coding Academy Israel. Finally, in 2019, they briefly studied machine learning and deep learning at the Deep Learning Academy.