Michał Darowski
@michadarowski
I build machine learning solutions for ultra-precision industrial manufacturing problems.
NorwayWhat I'm looking for
I'm completing a PhD at the University of Agder, collaborating with a CNC machine manufacturer’s R&D lab to apply AI to ultra-precision engineering, improve process efficiency, and reduce manufacturing cost.
I design and run polishing experiments on ultra-precision CNC machines, analyse the resulting data, and develop machine learning models that inform sensing, modelling, and next-generation machine design. I've authored and co-authored four peer-reviewed papers and present results to both academic and industry audiences.
Previously, I built LabVIEW control software for the SwingArm Profilometer, Power BI dashboards and automated workflows at Kagool, Java CRM functionality at Gentrack, and MATLAB algorithms for autonomous optics manufacturing at Zeeko.
Experience
Work history, roles, and key accomplishments
Machine Learning Researcher
University of Agder
Aug 2021 - Present (5 years)
PhD research fellow focused on applying AI to ultra-precision engineering, collaborating with industry partners to improve process efficiency and reduce manufacturing cost. Designed and ran experiments on CNC machines, developed ML models, and authored peer-reviewed papers.
Designed system logic for the SwingArm Profilometer and developed control software in LabVIEW to automate measurement and data collection for large ultra-precision surfaces.
Data Engineer / Data Analytics
Kagool
Mar 2021 - Jul 2021 (4 months)
Built interactive Power BI dashboards and proof-of-concept reports, presenting data as clear, real-time visualisations for business stakeholders. Automated internal ticket-management workflows in Power Automate.
Developed new CRM software functionality in Java and resolved bugs based on customer tickets. Worked directly with clients through system implementation, configuring the system to match their requirements.
Control Systems Research Intern
Zeeko Ltd.
Jun 2017 - May 2018 (11 months)
Designed and implemented MATLAB algorithms to automatically generate CNC machine programs based on measurement data, integrating cyber and physical processes into a proof-of-concept autonomous optics manufacturing cell.
Education
Degrees, certifications, and relevant coursework
University of Agder
Doctor of Philosophy, ICT
2021 - 2026
Activities and societies: Selected coursework: Advanced Topics in Machine Learning (DTU); Secure and Robust AI Model Development (UiS); Time Series Econometrics (BI Norwegian Business School); Research in Industrial Context (USN). Doctoral schools: DeepLearn 2023 Spring, 9th International School on Deep Learning (Bari, Italy); Northern Lights Deep Learning Winter School (Tromsø, Norway).
PhD in ICT focusing on machine learning for ultra-precision process control and optimization, in collaboration with a Zeeko Ltd-funded lab.
University of Aberdeen
Master of Science, Artificial Intelligence
2019 - 2020
Activities and societies: The Data Lab (Scotland's Innovation Centre for AI) scholarship recipient.
MSc in Artificial Intelligence with an industry project on deep neural networks for time-series analysis and Remaining Useful Life estimation.
Bangor University
Bachelor of Engineering, Computer Systems Engineering
2015 - 2018
Activities and societies: Industry project with Zeeko Research: Industry 4.0 automated optical manufacture system.
BEng in Computer Systems Engineering with an industry project on Industry 4.0 automated optical manufacture systems.
Tech stack
Software and tools used professionally
Availability
Location
NorwayAuthorized to work in
Job categories
Skills
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