Piotr Skalski
About Piotr Skalski
Piotr Skalski is a Machine Learning Growth Engineer at Roboflow, with a diverse background in machine learning and software engineering. He has contributed to significant projects in the field, including developing an open-source labeling tool and authoring popular technical articles.
Current Role at Roboflow
Piotr Skalski serves as an ML Growth Engineer at Roboflow, a position he has held since 2022. In this role, he focuses on enhancing machine learning capabilities and driving growth within the organization. His expertise in machine learning and computer vision contributes to Roboflow's mission of simplifying the process of building and deploying computer vision models.
Previous Experience in Machine Learning Consulting
Prior to his current role, Piotr Skalski worked as a Machine Learning Consultant at several companies, including SATIM Inc. and Ultralytics. At SATIM Inc., he contributed for 7 months in 2020, followed by a 6-month tenure at Ultralytics in 2021. He also worked as a Machine Learning Consultant at Byte Motion AB for 8 months in Sweden, showcasing his versatility and adaptability in various environments.
Background in Computer Vision and AI Engineering
Piotr has extensive experience in computer vision and AI engineering. He worked as an AI Engineer at Unleash live for one year from 2021 to 2022. Additionally, he held positions at VirtusLab as a Computer Vision Engineer and Tech Lead, contributing to projects that focus on computer vision technologies. His work in this field includes significant contributions to open-source projects like YOLOv5.
Educational Qualifications
Piotr Skalski holds a Master's degree in Civil Engineering from Politechnika Krakowska im. Tadeusza Kościuszki, where he studied from 2011 to 2016. He also earned a degree in Computer Science from AGH University of Science and Technology, completing his studies from 2016 to 2020. This educational background provides him with a strong foundation in both engineering and computer science principles.
Contributions to Open Source and Writing
Piotr has made notable contributions to the open-source community, including the development of makesense.ai, an online labeling tool for computer vision projects, which has gained significant traction on GitHub. He actively maintains onemetric, a Python library for benchmarking computer vision models. Additionally, he has authored a Medium post titled 'Let’s code Neural Network in plain NumPy,' which has reached over 200,000 readers.