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Grzegorz Jabłoński has a diverse work experience spanning various roles and industries. Grzegorz'smost recent position is at Unit8, where they served as a Data Scientist & Engagement Lead since June 2022. Prior to that, they worked as a Data Scientist at Aptiv from December 2021 to June 2022. At Aptiv, they also held the position of Advanced Machine Learning Specialist from January 2019 to October 2020, where they focused on developing machine learning models for anomaly detection in telemetry data and optimizing object detection in radar data using neural networks.

Before joining Aptiv, Grzegorz worked at Fideltronik Poland as a Senior IIoT R&D specialist from February 2018 to December 2018. Grzegorz gained experience as a Postdoctoral Researcher at the Institute of Science and Technology Austria from March 2016 to January 2018, where their research focused on applications of topological methods in dynamical systems, algorithms for geometrical problems, and medical data analysis.

Grzegorz also spent time at Jagiellonian University as an Asystent from September 2014 to February 2016, and at Medius as a C# Software Developer from July 2010 to December 2010. During their time at Medius, they worked on designing web-based solutions for invoice flow processing and developing methods for automatic invoice recognition.

Grzegorz's early work experience includes an internship at DreamLab sp z o. o. in 2009, where they contributed to the development of an open-source module for limiting traffic on the Nginx hosting server.

Overall, Grzegorz Jabłoński has a strong background in data science, machine learning, research, and software development, with a focus on applying advanced methods to various domains and industries.

Grzegorz Jabłoński's education history is as follows:

From 2011 to 2015, Grzegorz attended Jagiellonian University and obtained a Doctor of Philosophy (Ph.D.) in Computer Science.

In 2013, they briefly studied Computational and Applied Mathematics at Rutgers University.

In 2012, they also had a short-term study in Computational Mathematics at the University of Warsaw.

From 2006 to 2011, Grzegorz pursued their Master of Science (M.Sc.) degree in Computer Science at Jagiellonian University.

In 2009, they had a study experience in Computer Science at Universität des Saarlandes.

In addition to their formal education, Grzegorz has obtained various certifications, some of which include:

- Introduction to Machine Learning in Production from Coursera (August 2021)

- Statistical Inference from Coursera (June 2021)

- Self-Driving Cars Specialization from Coursera (January 2020)

- Visual Perception for Self-Driving Cars from Coursera (January 2020)

- Microsoft Certified: Azure Fundamentals from Microsoft (November 2019)

- State Estimation and Localization for Self-Driving Cars from Coursera (September 2019)

- Motion Planning for Self-Driving Cars from Coursera (July 2019)

- Introduction to Self-Driving Cars from Coursera (April 2019)

- Advanced Python Programming from Sages (March 2019)

- Deep Learning Specialization from Coursera (November 2018)

- Sequence Models from Coursera (November 2018)

- Convolutional Neural Networks from Coursera (October 2018)

- Structuring Machine Learning Projects from Coursera (September 2018)

- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from Coursera (January 2018)

- Neural Networks and Deep Learning from Coursera (January 2018)

- Introduction to Data Science in Python from Coursera (November 2017)

- Microsoft Certified: Azure AI Engineer Associate from Microsoft (October 2020)