Marek Kowalik

Experience

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  Samsung Electronics

  Mar 2019 - Jun 2019

  Project Intern

  Main goal of this project was to create a neural network predicting direction of a sound source (or many sources) and also predicting how many sound sources there is. Training data was taken from open source databases with sounds collected with arrays of microphones. My team was also provided with own array of microphones, so we have collected own samples and analyze them. I was working in a four member group. The project was written in python, main architecture was Deep Neural Network.

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  IFJ PAN

  Jul 2019 - Aug 2019

  Summer Intern

  Project "Search for the new physics in the ATLAS detector at the LHC".Based on particles collision data simulated in "Pythia" I have trained and compared different machine learning models for particles classification purposes. I was working particularly with Gradient Boost Decision Trees, Multilayer Perceptrons and Deep Neural Networks. The main goal was to find particles outside of Standard Model (i.e. heavy neutral Higgs boson , dividing into b-quarks). The second part of internship was to classify particles from Atlas (CERN detector) and also searching for bosons outside of SM. I was working in two-person team. Show less

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  Capgemini

  Apr 2021 - now

  Research and development around error mitigation for quantum chemistry simulations with quantum computing on gate-based backends.Previously, at the first year my works was focused on Quantum Machine Learning. Testing quantum, hybrid and quantum-inspired algorithms for computer vision, anomaly detection, models’ compression and high-performance simulations.

  • Data Scientist

    Jul 2024 - now

  • Quantum Developer

    Jan 2022 - now

  • Junior Data Scientist

    Feb 2022 - Jun 2024

  • Data Science Intern

    Apr 2021 - Feb 2022