I am a Computer Vision and Image Processing specialist with a deep passion for 3D vision algorithms and medical imaging techniques. I thrive on designing, evaluating, and benchmarking novel algorithms to solve complex visual problems.
Recently, I focused my Master's thesis at the Czech Technical University on a detailed evaluation of state-of-the-art Structure-from-Motion approaches under the supervision of Dr. Torsten Sattler. With a strong foundation in machine learning, deep learning frameworks, and practical software engineering, I bridge the gap between theoretical research and robust, implemented solutions.
During my internship at EVS, I worked at the intersection of AI and projective geometry. My core responsibilities included:
Technologies used: Python, C++, OpenCV, Thrift, Unreal Engine, Jira, Scrum
Simple implementation of a visual SLAM system using ORB features.
Tech: C++, OpenCV, Eigen
Implementation of a Structure from Motion pipeline, camera pose estimation, and 3D point cloud reconstruction.
Tech: Python, Numpy, OpenCV
Implementation of a congestion driven placement algorithm for FPGAs using Improved Simulated Annealing.
Tech: C++
Comparison of different loss functions for retina blood vessel segmentation using U-Net architecture.
Tech: Python, PyTorch, Monai