ML / Computer Vision / Federated Learning developer focused on image analysis, model training, privacy-preserving machine learning and deployment automation.
- Computer Vision: OpenCV, YOLO, image classification, object detection
- Machine Learning: PyTorch, TensorFlow, scikit-learn
- Federated Learning: Flower, gradient privacy, Opacus, gradient reconstruction attack simulation
- Backend / DevOps: Docker, Docker Compose, PM2, Nginx, CI/CD basics
- Languages: Python, JavaScript, TypeScript, C++, C#
| Project | Description | Tech stack |
|---|---|---|
| hadder-federated-gradient-privacy | Federated learning system for image classification with gradient privacy protection and gradient inversion attack simulation. | Python, PyTorch, Flower, Opacus, Docker |
| cv-app-empty-store-shelf | Computer vision app for detecting empty shelf areas in retail images using YOLO and Streamlit. | Python, YOLO, OpenCV, Streamlit |
| web-plus-pm2-deploy | Full-stack deployment project with React frontend, Node.js backend, PM2 deploy and production server setup. | React, Node.js, PM2, Nginx, TypeScript |
| stellar-burgers | React + TypeScript SPA for a burger constructor with routing, authentication and Redux state management. | React, TypeScript, Redux |
| today-is-game | Strategy game where the player acts as a city newspaper editor, ranks headlines and influences faction relations. | Lua, Love2D, Python |
- Email: casilyas1@gmail.com
- Telegram: @hadder10
- X: @Jokerisplayingg

