Monika Seniut

Monika Seniut has a strong background in machine learning and engineering. Monika is currently working at Nevomo as a Senior Machine Learning Engineer, a position they have held since May 2022. Prior to this, they worked as a Machine Learning Engineer at Nevomo from June 2021 to May 2022.

Before joining Nevomo, Monika worked at TUATARA as a Machine Learning Engineer from March 2020 to May 2021.

Monika also has experience at Lingaro, where they worked as a Consultant from October 2018 to March 2020. Monika'sresponsibilities included implementing atomic operations in Python and developing a logging module. Prior to this role, they worked as a Junior Big Data Consultant at Lingaro from March 2017 to March 2018. In this role, they were responsible for Python backend development, consultant support, and custom Python script development.

Monika started their career as a Physics Intern at GSI, Inc. in September 2016, and later had an internship at CERN as a Physics Intern from July 2016 to September 2016. At CERN, they worked on the Therminator Monte Carlo generator model for the ALICE experiment.

Monika also gained experience as an Android Developer Intern at IGT Poland in August 2014.

Throughout their career, Monika has developed strong skills in machine learning, engineering, Python programming, and data processing.

Monika Seniut completed their education in a chronological order. From 2013 to 2017, they attended Warsaw University of Technology and obtained a degree in Inżynier (Inż.) in the field of Fizyka Techniczna. Later, from 2017 to 2018, they pursued further education at Warsaw University of Technology and obtained a Magister (Mgr) degree in the field of Informatyka. In addition to their formal education, they also obtained a certification in Neural Networks and Deep Learning from Coursera in October 2020.