Matvii

MATVII LESHCHENKO
SOFTWARE DEVELOPMENT • CYBERSECURITY • AI ENGINEERING
✉ [відкрити контакти](див. вище в блоці «контактна інформація») | ☎ [відкрити контакти](див. вище в блоці «контактна інформація»)
GitHub: github.com/mtnormie

PROFILE
Security-minded developer building projects across network systems, cybersecurity, AI/ML concepts, and game development. Works with
Python, C++, C#, Linux, and hardware fundamentals. Uses LLMs as a practical engineering tool for research, prototyping, debugging, and
code iteration while retaining ownership of architecture, review, and integration.

TECHNICAL SKILLS
CYBERSECURITY Network security fundamentals, penetration-testing concepts, reverse engineering, CTF challenges
PROGRAMMING Python, C++, C#, debugging, modular software design
AI & LLM ENGINEERING AI/ML concepts, LLM-assisted development, prompt iteration, code review and integration
NETWORKS & SYSTEMS Networking fundamentals, Linux, hardware, wireless mesh-network concepts
TOOLS Git/GitHub, Unity, Linux development environments

SELECTED PROJECTS

STEALTH MESH
Experimental wireless mesh-network research project
Explores resilient text messaging when conventional infrastructure is unavailable. Includes a weighted-graph routing baseline using Dijkstra,
message queuing with bounded retries and duplicate detection, network metrics, and an AES-256-GCM local group-messaging prototype.
ML-based link-quality estimation remains a planned research component.
Repository: https://github.com/mtnormie/Stealth_Mesh

HYSTERIA
Unity 3D horror / detective game
A realistic, story-driven horror game built in Unity, centered on a small-town murder investigation. Focuses on atmosphere, environmental
storytelling, investigation, and gameplay systems implemented in C#.
Repository: https://github.com/mtnormie/Hysteria

EXPERIENCE & RECOGNITION

• Develop independent software projects from architecture and implementation through debugging and
documentation.
• Use LLMs to accelerate research and coding, then review and integrate generated code critically.
• Regional-stage prize-winner — Junior Academy of Sciences of Ukraine (MAN), cybersecurity category.
• Participant — CyberApocalypse 2026 CTF.
SCAN TO VIEW
GitHub profile

Languages: Ukrainian (native) • English (working proficiency)