Ілля

Illia Harbar | Junior Python Developer / Data Engineer
[открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация») | Kyiv, Ukraine

Social media

LinkedIn, Telegram

Summary

Master’s student in Software Engineering with strong expertise in Python development, Data Engineering, and Backend
systems. Experienced in building ETL pipelines, developing desktop applications with PostgreSQL, and integrating AI/ML
models. Skilled in process automation, smart contract interaction, and processing unstructured data. Seeking a technical role
to apply skills in software architecture and data processing.

Skills

Python (Advanced - Asyncio, OOP), SQL (PostgreSQL), Algorithms, Pandas, NumPy, OpenCV, YOLO, Hugging Face
Transformers, ETL pipelines, Docker, Git, Linux, PyInstaller, PyQt, Web3.py, REST API, Data Security (Encryption), Agile

Experience

Treasure | San Francisco, CA (Remote)
Python Automation Developer / Data Engineer | 01/2024 - 01/2026
Automation: developed Python scripts to scrape and aggregate market trend data from blockchain sources, replacing
manual data entry.
Smart Contracts: automated interaction with crypto wallets and verified smart contract transactions using Web3 libraries.
Data Processing: built data cleaning pipelines to prepare datasets for product strategy analysis.
Optimization: identified bottlenecks in content management workflows and implemented script-based solutions, reducing
manual work by 30%.

Projects

Financial Activity Analysis Tool (Desktop App) | Python, PostgreSQL, PyQt

Engineering: architected a normalized PostgreSQL database to track income, expenses, and tax records with strict
data consistency.
Security: implemented AES encryption to ensure secure storage of sensitive financial data.
Functionality: developed a responsive desktop interface for automated reporting and data visualization.

AI-Powered Audio Processing System | Python, Vosk, Transformers

Pipeline: developed a local pipeline for processing large volumes of audio data without external APIs.
ML Integration: utilized Vosk for offline speech recognition and Hugging Face Transformers for neural translation.
Performance: optimized processing speed for large datasets using caching and multi-threading.

Computer Vision Research (Academic) | Python, YOLO, OpenCV
Developed real-time object detection models using YOLO and CNN.
Conducted comparative analysis of detection algorithms (Haar Cascades vs Neural Networks).

Education

Taras Shevchenko National University of Kyiv | Kyiv, Ukraine
Computer Software Engineering, Master's degree | 06/2026
Focus: Data Analysis, Algorithms, and High-load Systems.

NULES of Ukraine | Kyiv, Ukraine
Computer Software Engineering, Bachelor's degree | 06/2024
Courses & Certifications

Python 3: Deep Dive (Parts 1-4) | Udemy: advanced memory management, asynchronous programming, and internal
optimization.

Object-Oriented Design | University of Alberta: SOLID principles, Design Patterns, UML.

Advanced SQL for Data Analysis: window functions, CTEs, complex queries.

Cybersecurity Essentials | Cisco: understanding of data protection principles (relevant for Data Quality/Security).

Power BI Essentials: dashboard design and data modeling.

English for IT 1-2 | Cisco

Languages

English: Upper-Intermediate (B2)
Ukrainian: Native
Russian: Fluent