Experience

Work history, education, and publications.

Work History

Samsung Electronics

March 2023 - Present

Development of proof of concepts based on computer vision technologies: facial landmarks detection, background segmentation, Structure from Motion, Gaussian Splatting and NeRF
Research and testing solutions from scientific articles
Training machine learning models and hyperparameter tuning

C++PythonPyTorchCUDADockerCMakeLinux

Mnemosis

July 2021 - February 2023

Development of algorithms for 2D/3D/4D data processing in C++: optimization problems, object detection and perspective projection
Prototyping in Python and use of multithreading in algorithms
Preparing apps for distributed computing
Code review, unit testing, working in Scrum and CI/CD

C++PythonDockerCMakeJiraScrum

Smarttech3D Metrology

August 2020 - June 2021

Proof of concept of the company's new product based on Arduino
Implementation of algorithms and solutions for image processing or 3D scanning in C++
Working with LiDAR and photogrammetry
Prototyping solutions in Python

C++PythonOpenCVEigenArduinoLiDAR

Warsaw University of Technology

2021 - 2022

Warsaw University of Technology

2017 - 2021

DeepVID: deep-learning accelerated variational image decomposition model tailored to fringe pattern filtration

Maria Cywińska, Konstanty Szumigaj, Michał Kołodziej, Krzysztof Patorski, Vicente Mico, Shijie Feng, Chao Zuo and Maciej Trusiak

Journal of Optics, Vol. 25, No. 4 (2023) · [Article] · [PDF]

OpenCV · PyTorch · Structure from Motion · Gaussian Splatting · NeRF · 3D Scanning · Photogrammetry · LiDAR

C++ · Python · CUDA · Git · CMake

Algorithms and Data Structures · Algebra and Geometry · Optimization Problems

Docker · CI/CD · Scrum · Code Review · Linux · Windows

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