Bardia Rafieian

Data Team Lead at BeChained

Bardia Rafieian has a diverse work experience spanning various roles and industries. Bardia is currently working as a Data Engineer at BeChained, a position they have held since November 2022. Prior to this, Bardia worked as a Teacher at UPC Manresa - EPSEM starting from September 2022.

From 2018 to the present, Bardia held the position of Research Associate at EPSEVG - UPC - Universitat Politècnica de Catalunya. Bardia'sresponsibilities included publishing research papers, working on Transformer, BabelNet, and seq2seq NN, as well as completing the Iberspeech conference and website.

In 2020, Bardia also worked as a Lecturer at UPC School - Postgraduate Course In Artificial Intelligence With Deep Learning.

Bardia has prior experience as an MLOps at Viume from March 2019 to October 2022 and as a Project Controller (cloud) at Sahand Parsian from May 2015 to August 2018.

Before that, Bardia worked as a Scientific Researcher at Qazvin Islamic Azad University from September 2015 to September 2017, focusing on Plagiarism Detection tools using Machine Learning and Natural Language Processing modeling tools.

From October 2013 to August 2015, Bardia served as a Presenter and Lab Assistant at Islamic Azad University Central Tehran Branch, where they worked on Linux Fedora, implemented integrated software systems, and presented research findings.

Bardia's early work experience includes working as a Telecommunications Analyst at Sahand Parsian from March 2010 to March 2015.

Bardia Rafieian pursued their education in a chronological manner. Bardia completed their Bachelor's degree in Computer Software Engineering from Islamic Azad University Central Tehran Branch. Bardia then went on to obtain a Master's degree in Computer Software Engineering from Qazvin Islamic Azad University. Currently, Bardia is enrolled at UPC Manresa - EPSEM, where they are working towards a Doctor of Philosophy (PhD) degree in Nlp.

Links

Timeline

  • Data Team Lead

    November 2, 2022 - present

  • Data Engineer

    November, 2022