Dr. Piotr Swierczynski

- Successfully brought prototypes to fruition, overseeing the entire product creation process - 4 granted patents in Computer Vision, 2 more pending - Hands-on contribution to company codebase using Python, C++, and CUDA - Building and leading a team of software and algorithm engineers - Leading interactions with customers about technical product specifications - Representing the company at conferences

A senior member of a technical team developing novel 3D sensing technology for automotive applications based on camera arrays. Nodar's first employee. - Creating accurate camera calibration algorithms surpassing state of the art methods - Developing and benchmarking stereo matching algorithms - Successful projects with several OEMs and Tier1s - Recruiting new team members - Primary toolset: Python (PyTorch, OpenCV), C++

Member of an R&D team with a focus on images and video streams in the automotive industry - Designing low-latency object detection and segmentation algorithms - Researching optimization of image and video compression for deep learning and computer vision applications - Leading several successful proofs of concept for clients in the automotive industry - Leading teams of software developers in two successful projects - Primary toolset: Python (scikit-learn, PyTorch, OpenCV)

Research at the Institute of Numerical Mathematics (M2) under supervision of Prof. Barbara Wohlmuth; Focus on numerical methods for optimisation and simulations of physical processes; Extra-curricular projects in uncertainty quantification; Development of computational packages for finite element simulations in Python and Matlab; Member of the International Research Training Group IGDK Munich – Graz; 6-month research exchange program with Graz University of Technology

Courses in Agile Project Management and Strategic Management offered by Harvard Business School

Research at the Institute of Numerical Mathematics (M2); Focus on numerical methods for optimisation and simulations of physical processes; Extra-curricular projects in uncertainty quantification; Development of computational packages for finite element simulations in Python and Matlab;

Graduated with Distinction; Thesis: "Segmentation and Registration of CT Lung Images"; Research in Image Processing; Core focus on simulations and numerical methods; Programming projects in Python and Matlab; Group projects on mathematical modelling and scientific computing case studies

GPA 4.8/5.0 Thesis: Chemotaxis–Navier–Stokes system on general domains; Core focus on the analysis of differential equations and physical models; Courses in a wide range of applied mathematical topics; Courses in C++ programming

GPA 4.5/5.0