Fields of Research Interest
- Artificial Intelligence
- Deep Learning
- Time Series Analysis
- Hardware acceleration
Technical Skills
Machine learning
- Tensorflow
- PyTorch
- Scikit-learn
Programming
- Python
- C/C++
Current Positions
February 2017 – present, Principal Deep Learning Research Engineer
Cadence Design Systems
October 2012 – present, Research Fellow
CYFRONET Supercomputing and Networking Center,
Computing Acceleration and Machine Learning Group
Kraków, Poland
Past Positions
March 2017 – April 2017, AI Solutions Consultant
Kraków, Poland
February 2016 – January 2017, Deep Learning Research Engineer
European Organization for Nuclear Research (CERN)
TE-MPE-EP
Geneva Area, Switzerland
October 2011 – October 2012, Postdoctoral Research Fellow
NTNU University of Science and Technology,
Department of Telematics,
Trondheim, Norway
August 2008 – October 2011, Systems Designer
CYFRONET Supercomputing and Networking Center,
Computing Acceleration and Machine Learning Group,
Kraków, Poland
Education
2010, Ph.D. in High-Performance Reconfigurable Computing
AGH University of Science and Technology,
Thesis: FPGA implementation of the selected floating-point operations
2005, M.S. Electronics
AGH University of Science and Technology,
Thesis: FPGA implementation of wavelet image compression