Cognitive Computing Researcher

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

Fitech
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