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wmakurat/README.md

About me

I'm a software developer specialized in AI/ML and computer vision. I have over two years of commercial experience and around five years of academic experience in related fields.

I hold a degree in Mechatronics (specialization: Photonics) from Warsaw University of Technology and I'm currently completing a Master's in Information Technology (also at WUT). During my studies, I focus on AI (strong in computer vision) and I’m widening into other AI/DS tracks to tackle diverse problem domains.

About pinned repositories

This repository showcases a selection of non-commercial projects I’ve worked on during my academic and personal development. The projects are ordered (in my opinion) from the most relevant and technically impactful to more exploratory ones.

ID Name Brief Technology
01 SfM Reconstruction Sparse Structure-from-Motion with extra geometric hints (approx. pose/depth/intrinsics) + GUI; reconstructs 3D point cloud from one/two images and masks. C++17, OpenCV, PCL, Qt, CMake
02 HES Detection Handwritten Electronic Schematics: synthetic data generator + object detection (components) + connection parsing into a matrix. Python, PyTorch (YOLOv8, Faster R-CNN), OpenCV; C++ (generator, nlohmann/json), COCO JSON
03 RNN Raincast Nowcasting on SEVIR IR069: ConvRNN / ConvLSTM / Peephole-ConvLSTM with a lightweight head; demo sample, checkpoint and notebook included. Python, PyTorch Lightning, Hydra, NumPy, Matplotlib, Weights&Biases (opt.)
04 Mouse Anomalies User verification via mouse dynamics (Balabit): segmentation → 37 features → classic ML for anomaly detection and supervised classification. Python, scikit-learn, XGBoost, SVM, Isolation Forest, PCA, SMOTE, Pandas/NumPy

Pinned Loading

  1. sfm_reconstruction sfm_reconstruction Public

    C++

  2. rnn_raincast rnn_raincast Public

    Python

  3. hes_detection hes_detection Public

    Jupyter Notebook

  4. mouse_anomalies_detection mouse_anomalies_detection Public

    Jupyter Notebook