Rafał Styrylski has a diverse work experience in the field of machine learning and software engineering. Rafał started their career as a Software Engineer Intern at ABB Corporate Research Center in 2012, where they developed simulation, data analysis, and image processing projects using Matlab/Simulink and C++ with OpenCV library. From 2014 to 2016, they worked as an IoT Consultant at Comarch Technologies, where they were responsible for project planning, cost estimations, and formulating technical requirements. Rafał also worked as an Embedded SW Engineer, developing software for Bluetooth 4 and working on the Certification Tool for AirFuel Alliance Resonant technology.
In 2017, Rafał worked as a Requirements Manager at BSH Sprzęt Gospodarstwa Domowego Sp. z o.o., and in 2018, they served as a Machine Learning Engineer at CTA.ai. In 2019, they joined Genesis Global Limited as a Machine Learning Engineer, where they validated improvement opportunities and business cases using data analysis and built models and algorithms using Python, NumPy, Pandas, Scikit-learn, Tensorflow. Rafał also integrated data sources and sinks, built data pipelines set in the Google Cloud environment using various tools and technologies.
Currently, Rafał is working at Hard Rock Digital as a Machine Learning Engineer, starting their role in 2023. Rafał has continuously demonstrated their expertise in machine learning and has experience supporting machine learning solutions from conception to deployment. Rafał is proficient in various programming languages and technologies such as Python, NumPy, Pandas, Scikit-learn, Tensorflow, Apache Kafka, and Apache Beam.
Rafał Styrylski obtained their Magister inżynier (Mgr inż.) degree in Automation and Robotics from AGH University of Krakow. Rafał attended the university from 2009 to 2014.
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