My Work Experience

Here you can find a comprehensive list of my work experience.

• Developed a system using machine learning to automatically detect and identify peat grips from satellite and LIDAR images.
  

• Developed a real-time 3D multi-person human pose estimation system with occlusion-handling capabilities, utilizing an omnidirectional (360 degree) camera and mmWave radar sensors, resulting in the submission of a conference paper.
  
• System combines OpenPose, a 2D-3D lifting deep learning model, and radar data for accurate global 3D pose estimation.
  

• Coordinated monthly talks, biweekly workshops, and a successful HackAI hackathon.
• Led practical and theoretical AI workshops for engineering and non-engineering students.

• Contributed to the development and fine-tuning of a yolov5-based application for automated real-time detection from camera, resulting in significantly improved accuracy and efficiency for collecting and analysing data on construction sites.
• Designed and developed a robust people counting algorithm.

• Designed and developed a high-performing supervised algorithm based on XGBoost for detecting faulty components achieving precision of 99% and recall of 91%.
• Conducted comprehensive data preprocessing, analysis, and visualization for customers to provide actionable insights for business decision-making.

• Design and development of critical components for an electric car project, such as: charging systems, balancers (BMS) and control systems for Li-Ion battery and supercapacitors, regenerative braking systems.
• Programming NXP and microchip microcontrollers and keeping records of research documentations.

• pawel.knap@uniklinik-freiburg.de
• Institute of Medical Biometry
  and Statistics (IMBI)
• Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau, Germany