Piotr Skalski has had a varied and extensive work experience. Starting in 2017, they were a Software Developer at Multimedia Communication Sp. z o.o. In 2018, they were a Software Engineer at Printbox, Software for Photo Products, and a Writer at Towards Data Science where they published on topics related to Computer Vision and Machine Learning in general and had almost 4.5k followers and roughly 20k monthly reading. One of their posts was read by over 200k people. In 2019, they were a Computer Vision Tech Lead, Computer Vision Engineer, and Big Data Engineer at VirtusLab, and a Machine Learning Engineer at Comarch. In 2020, they were a Machine Learning Consultant at SATIM Inc. and Byte Motion AB. In 2021, they were an AI Engineer at Unleash live and a Machine Learning Consultant at Ultralytics. Piotr is currently an ML Growth Engineer at Roboflow.
Piotr Skalski obtained a Master's degree in Civil Engineering from Politechnika Krakowska im. Tadeusza Kościuszki in 2016. Piotr then went on to pursue a degree in Computer Science at AGH University of Science and Technology, which they are expected to complete in 2020. Additionally, they have obtained numerous certifications, including Fundamentals of Accelerated Computing with CUDA Python from NVIDIA in 2022, Getting Started with AI on Jetson Nano from NVIDIA in 2022, Splunk 7.x Fundamentals Part 1 and Part 2 from Splunk in 2019, Lightbend Akka for Scala Professional from Lightbend, Inc. in 2019, Deep Learning Specialization, Sequence Models, Structuring Machine Learning Projects, Convolutional Neural Networks, and Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization from deeplearning.ai in 2018, Functional Programming Principles in Scala from Coursera in 2018, Neural Networks and Deep Learning from Coursera in 2018, Data Analysis with Pandas and Python, Machine Learning A-Z™: Hands-On Python & R In Data Science, and Spark and Python for Big Data with PySpark from Udemy in 2017, and Google Developer Challenge Scholarship from Udacity in 2017.
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