Experience

For more details on my current experience, please visit my profile at LinkedIn.

Professional Experience:

EPFL, Swiss Federal Institute of Technology in Lausanne
  • AI Research Engineer (Feb 2022 - present)
    • Working on computer vision for human pose and hand-object interaction.
    • Modelling digital humans with deep learning, especially GNN models.
    • Teaching software engineering and brain-inspired computing in Python.
    • Supervising students and delivering research for top-tier AI venues.
Intel Technology Poland
  • Deep Learning Software Engineer (Feb 2021 - Jan 2022)
    • Developing backend and logic of the Intel Geti Model Training Platform on Kubernetes.
    • Designing, building, and deploying scalable cloud-based machine learning solutions.
  • Undergraduate Deep Learning Engineer (Oct 2018 - Feb 2021)
    • Developing computer vision logic for human pose estimation at the Olympic Games in Tokyo.
    • Designing a C++ graph converter and enabling Tensorflow support for the AI processor NNP-T.

Education:

Gdańsk University of Technology
Faculty of Electronics, Telecommunication and Informatics
Department of Decision Systems and Robotics

  • MSc in Control Engineering and Robotics (2020 - 2021) (summa cum laude)
    Specialization: Autonomous Vehicle Technologies
    Thesis: “Analysis of data from large-scale physics experiments using Spiking Neural Networks”

  • BSc in Control Engineering and Robotics (2016 - 2020)
    Specialization: Decision Systems
    Thesis: “Intelligent robot in a roadside environment”

Research Internships:

CERN - The European Organization for Nuclear Research, Switzerland
  • Research Student (Jul 2020 - Sep 2020)
    • Experimental data analysis for gravitational wave detection at LIGO using deep autoencoders.
    • Cross-architecture acceleration of custom neural networks through hls4ml package.
USFQ - Universidad San Franciso de Quito, Ecuador
  • Research Student (Sep 2019 - Oct 2019)
    • Contributed to the machine learning initiative improving transport quality in Latin America.
    • Cooperation with University of Xalapa and MIT Center for Transportation and Logistics.
CERN - The European Organization for Nuclear Research, Switzerland
  • Openlab Summer Student (Jul 2019 - Aug 2019)
    • Designed and implemented a novel particle classifier based on spiking neural networks.
    • Deployed software on the Intel Loihi neuromorphic chip for the first time at CERN.
Karunya Institute of Technology and Sciences, India
  • Research Student (Jul 2018 - Sep 2018)
    • Developed an intelligent mobile robot on Arduino and Raspberry Pi with Intel Movidius NCS.
    • Implemented a real-time computer vision pipeline for on-board object detection.

University Experience:

Gradient AI Science Club
  • President (Oct 2017 - Mar 2021)
    • Leading a community of 100+ students working in the field of artificial intelligence.
    • Coordinating projects and publications presented at conferences and meetups.
    • Gained and managed research grants with a total budget of ~€10K.
IAESTE Poland
  • IT Coordinator and Job Raising Group Member (Oct 2017 - Mar 2020)
    • Coordinating numerous IT projects, including creating and administrating websites, monitoring servers and systems of committee.
    • Maintaining cooperation with companies in the area of Gdansk, signing contracts and offers for the international exchange of students in technical projects.
SKALP Robotics Science Club
  • Member (Oct 2016 - Oct 2017)
    • Participating in workshops about embedded programming, microcontrollers (AVR), signal conditioning and integrated circuits. Organizing the “Tricity Robots Tournament 2017”.