I am passionate about software development and machine learning. I build end‑to‑end projects — from backend systems to ML models — always aiming for simple, effective solutions to real-world problems. I enjoy experimenting, learning new technologies, and continuously improving my skills while developing a portfolio that reflects my direction and ambitions.
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Web application that uses CNNs to analyze images related to everyday health, such as skin photos, nail images and simple medical scans. The system allows users to upload an image and instantly receive both a prediction and a Grad‑CAM visualization that highlights the areas most relevant to the model’s decision.
A web application created to solve the problem of disorganized equipment storage in a scout warehouse. It enables creating rentals, adding records, filtering, sorting, and more. The application is actively used, and user requests are submitted in a lightweight format via email.
A platform for managing trips, including staff and participant division, payment handling, daily schedules with assigned responsible persons, and storage of work plans and documents accessible to all team members. The main purpose of the project is to help with poor organization and relieve the burden of manual tracking.
The web app for managing a tomato farm, to predict by leafs the disease progression. You can analyze the health of your plants and take action before the disease spreads. It uses deep learning algorithms (Convolutional Neural Networks) to provide accurate predictions and recommendations.