Summary:

Self-taught Python Developer / Software Engineer with a focus on systemarchitecture, concurrent data processing, and tool development.

Expert in designing modular, decoupled systems from scratch. Specializing in high-performance data pipelines, process isolation (Multiprocessing), and robust IPC(Inter-process communication) without relying on web frameworks.

Motivated bycomplex logic, structural correctness, and deep system-level integration.

Technical Skills:

Python (3.6+):

• Procedural, functional, and object-oriented programming• Concurrency: multithreading, multiprocessing, asyncio
• Data collection, transformation, and visualization (Pandas, NumPy, Matplotlib, Seaborn)
• GUI development with Tkinter (basic desktop apps)• Testing: doctest (practical use), pytest/unittest (familiarity)
• Clean code practices: type hints, modular design, PEP8 compliance

Tools & Technologies:

• Git, GitHub
• Databases: SQLite3, PostgreSQL
• Virtual environments: venv, pyenv, poetry, uv
• Docker (theoretical knowledge, learning practical containerization)• Linux (daily driver, Mint XFCE)
• IDE: Geany
• English: sufficient for technical documentation and communication

Currently learning:

• FastAPI (lightweight APIs for data pipelines and integration tasks, using Pydantic validation)
• Advanced testing practices (TDD, BDD, ATDD, B2E)
• Practical Docker workflows

Projects:

Selected works are available on GitHub:

https://github.com/K-N-A-R-G

Notable projects include:

Databridge — high-performance ETL & Analytics Platform.

Server Tester — benchmarking multiple Python socket server implementations with visualization and SQLite logging.

One-file Utils — small applications for the daily needs of the developer.

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