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We work together, so the directions and complexity of the projects are different.
Key projects: Python + machine learning, forecasting and analytics; performance of student and postgraduate works in natural sciences and information technologies.
Python: machine learning and AI: TensorFlow, Scikit-learn, PyTorch. frameworks: Flask, Django, FastAPI, Dash databases: SQLite, PostgreSQL, MySQL, Oracle message brokers: Rabbit MQ, Kafka graphical desktop interface: PyQt visualization: MatPlotlib, Seaborn, Plotly constant use in projects: pandas, NumPy, SciPy, statsmodels, asyncio project deployment and collaboration: Docker, GitHub, GitLab focus of projects: analysis of texts data analysis and search for dependencies classification and clustering mathematical modeling API creation creation and integration of applications for RaspberryPi
Other programming languages: Java (desktop and mobile applications).
Other software tools: MatLab (Simulink, SimEvents) Arena Simulation CPN Tools
Student and postgraduate theses for ukrainian and foreign universities: Information Technology mathematics and modeling, mathematical physics finances Languages: Ukrainian and English.
Text and layout processors: Word, CorelDraw, LaTex.
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Student of Kharkiv National University of Radioelectronics, Faculty of Computer Engineering and Control, Department of Information Technology Security (ITS).
Worked at Distributed Lab from September 2022 to January 2024 as a Junior Back-End Developer. Have experience of developing:
✅ backend services using Golang, FastAPI, ASP.NET, Node.js;
✅ smart contracts using Solidity, Rust;
✅ GUIs using PyQt;
✅ games using Unity.
Also have experience in:
✅ DevOps (Kubernetes, Docker);
✅ database management (PostgreSQL);
✅ training YOLOv8 object detection model;
✅ code review;
✅ Linux;
✅ direct communication with English-speaking customers.
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