Xavier Sułkowski
About Xavier Sułkowski
Xavier Sułkowski is a Software Engineer with extensive experience in machine learning and data processing. He has worked at various companies, including Lekta AI, Ailleron, Branch, and Software Mind, and holds a Master of Engineering in Biomedical Engineering from AGH University of Science and Technology.
Work at Branch
Xavier Sułkowski has been employed at Branch as a Software Engineer since 2020. In this role, he focuses on developing internal tools for the company. His work involves automating processes and enhancing operational efficiency through software solutions. He has contributed to various projects that leverage his technical skills and experience in software development.
Work at Software Mind
In addition to his role at Branch, Xavier Sułkowski has also been working at Software Mind as a Software Engineer since 2020. His responsibilities include developing software solutions and collaborating with teams to improve product offerings. His dual role at both companies showcases his commitment to advancing his career in software engineering.
Previous Experience in Machine Learning and Software Engineering
Prior to his current positions, Xavier Sułkowski worked at Lekta AI as a Junior Machine Learning Engineer for six months in 2019. He also served as a Software Engineer at Ailleron for four months in the same year. His experience includes roles that required a strong foundation in programming and machine learning concepts.
Education and Expertise
Xavier Sułkowski studied at AGH University of Science and Technology, where he earned a Bachelor of Engineering (BE) in Biomedical Engineering from 2014 to 2018, followed by a Master of Engineering (MEng) in the same field from 2018 to 2019. His educational background provides him with a solid understanding of engineering principles, which he applies in his software engineering roles.
Technical Skills and Projects
Xavier Sułkowski has developed expertise in various technical areas, including automating repeatable processes using AirFlow and analyzing large datasets to improve search engine results. He utilizes tools such as Jupyter Notebook, PySpark, and Elastic Stack for data processing tasks. His involvement in developing automatic ECG analysis as part of an R&D team highlights his capability in applying engineering principles to real-world problems.