Pavlo

Pavlo Khomliuk
Junior Software Developer

📍 Ireland | 📧 [відкрити контакти](див. вище в блоці «контактна інформація») | 📱 [відкрити контакти](див. вище в блоці «контактна інформація») | 💻 my github
Junior Software Developer with hands-on experience in Python, networking,
frontend development, and system administration. Passionate about backend
systems, machine learning, and automation. Eager to apply my knowledge and
continuously learn to deliver scalable and impactful software solutions.

Skills I have:
Programming Languages & Frameworks:
• Python (NumPy, Pandas, Matplotlib, etc.)
• JavaScript (basic), HTML5, CSS3
• С#, C++ (basic)
Web Development:
• Responsive design with Flexbox and Grid
• DOM manipulation, interactive UI components
Databases:
• SQL, MySQL, SQLite
• Implemented database integration and CRUD operations in projects
Networking & OS:
• IP addressing, subnetting, routing, VLANs (Cisco Packet Tracer)
• Linux (Ubuntu, Debian), Bash scripting, system configuration
• Operating system concepts: memory, file systems, permissions
Tools & Other:
• VS Code, Git (basic), Packet Tracer, MS Office, Photoshop
• Machine Learning (scikit-learn, data preprocessing, visualization)
• Strong background in mathematics: algebra, discrete math, statistics
Projects:
Library Management System – Python, SQLite
• Developed a terminal-based system to manage books and users.
• Implemented CRUD operations, data validation, and file storage.
• Focused on modular code, structured data, and clean user experience.
Website – HTML, CSS, JavaScript
• Includes interactive UI elements and clean navigation.
Network Simulation Projects – Cisco Packet Tracer

• Designed LAN/WAN topologies with routers, switches, VLANs, and DHCP.
• Practiced IP configuration, subnetting, and routing protocols (static, RIP).

Python Data Tools & ML Practice – Python, Pandas, NumPy, Scikit-learn
• Developed scripts for data preprocessing, cleaning, and transformation using Pandas
and NumPy.
• Automated workflows for analyzing structured datasets and preparing them for machine
learning models.
• Practiced building and evaluating basic ML models (classification, regression) using
Scikit-learn.
• Focused on improving data quality, reducing manual effort, and experimenting with
predictive algorithms.

Rivne Game Jam 2022 Winner – Unity, C# (3D Game Development)

• Collaborated in a team to develop a 3D game prototype within a limited time.
• Enhanced teamwork, rapid prototyping, 3D modeling, and game logic implementation.

Education:

Munster Technological University, Ireland – Information Technology and Cybersecurity

Rivne Technical Vocational College NUVHP, Ukraine – Applied Mathematics and Programming
Soft Skills:
• Fast learner and self-motivated
• Strong problem-solving mindset
• Team player with excellent communication skills
• Comfortable working independently or in collaboration
• Passionate about learning new technologies and improving every day

Languages:
• Ukrainian: Native / Proficient
• Russian: Advanced
• English: Upper-Intermediate (B2) – confident in communication, documentation, and
teamwork