PhD student in machine learning at Poznan University of Technology
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhD student ( machine learning) at Poznan University of Technology. Mostly interested in deep learning and reinforcement learning. I do my coding mostly in Python, sometimes C/C++. I am one of ViZDoom's authors (environment for reinforcement learning based on Doom) : http://vizdoom.cs.put.edu.pl/ Please, don't send java developer position propositions.
Poznan University of Technology
Doctor of Philosophy - PhD, Computer Science
January 1, 2017 – January 1, 2022
Poznan University of Technology
Master’s Degree, Computer Science (Intelligent Decision Support Systems)
January 1, 2016 – January 1, 2017
Poznan University of Technology
Bachelor’s Degree, Computer Science
January 1, 2012 – January 1, 2016
Poznan University of Technology
PHD Student
October 1, 2017 – Present
Poznan, Greater Poland District, Poland
OLX Group
Data Science Intern
July 1, 2017 – September 1, 2017
Poznan, Greater Poland District, Poland
PSI Polska Sp. z o.o.
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July 1, 2016 – September 1, 2016
Poznan, Greater Poland District, Poland
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Junior Java Developer (intern)
July 1, 2014 – September 1, 2014
Poznan, Greater Poland District, Poland
R Programming
Coursera
June 24, 2026 – Present
edX Honor Code Certificate for Artificial Intelligence
edX
June 24, 2026 – Present
Certificate of Proficiency in English
University of Cambridge
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and certifications align with a research-oriented or specialized ML role. However, the lack of diverse industry experience beyond internships and academic roles, coupled with a limited number of projects, suggests a potential gap in broader industry cultural fit for a senior ML Engineer role. The experience is heavily academic, which might require adjustment to a fast-paced industry environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.