Pavlo

Pavlo Motliuk
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація») Lviv, Ukraine

Profile Languages
Backend Developer with a unique blend of experience in server infrastructure,
English
custom game engine architecture, and API development. Experienced in building Ukrainian
scalable Python systems, managing CI/CD pipelines, and maintaining robust
DevOps environments. Deeply involved in game development, which has allowed
me to gain strong skills in low-level code optimization, modular OOP design, and
crafting intuitive UI/UX. Adept at leveraging modern AI-agent workflows to
accelerate development. Passionate about delivering high-performance solutions
that perfectly bridge the gap between complex backend logic and seamless user
interaction.

Education
Bachelor of Science in Computer Science 2024-2028
Ivan Franko National University of Lviv (LNU), Lviv

Skills
Languages & Frameworks: Python, JavaScript, SQL, FastAPI, Django, React,
Node.js
AI & Agentic Development: Google Antigravity, Cursor, GitHub Copilot
Libraries & Game Dev: Pygame-CE, ModernGL, NumPy, Numba
Architecture & Practices: System Architecture, Modular Architecture, Object-
Oriented Programming (OOP), Code Optimization, UI/UX Design
Databases & ORM: PostgreSQL
Cloud & DevOps: Docker, Docker Compose, CI/CD, Termius
Testing: Pytest
Developer Tools: Postman, Git

WORK EXPERIENCE
Backdoor Protocol
GameDev // Status: Dec 2025 – Present
A custom-built hybrid game engine and immersive OS simulation featuring interconnected resource management, a fully
functional CLI, and a bespoke data persistence layer.
System Architecture & Massive Refactoring: Architected a hybrid, modular OOP game engine in Python (Pygame-CE,
ModernGL), executing a comprehensive codebase refactoring (from 51.5k to 26k lines) that eliminated memory leaks and
7,000-line monoliths, accelerating new feature development time from 1 month to 1-2 days.
High-Performance Rendering & UI: Engineered a custom graphics pipeline combining Pygame-CE and ModernGL
shaders to create complex visual effects (dynamic lighting, weather systems, day/night cycles). Developed a simulated in-
game OS interface, heavily optimized using state caching and dirty rectangle algorithms.
Complex Simulation Mechanics: Developed deep, interconnected logic systems, including an internal OS simulation with
attribute workload management, grid-based resource factories, a drone control system, dynamic inventory and item
systems, and an in-game CLI (command-line interface), utilizing NumPy to optimize complex mathematical computations.
Data Processing & State Persistence: Engineered a custom local data persistence and state management architecture.
Developed robust parsing, state serialization, and decryption pipelines to securely process and store complex hierarchical
data (simulated economy, secure data vaults) entirely in Python, ensuring rapid state reconstruction and data integrity.
Tech Stack: Python, Pygame-CE, ModernGL, NumPy, Git, Pytest, PyInstaller

InspireU & Powher
DevOps // Status: Apr 2026 - Aug 2026
CI/CD & Automated Deployments: Engineered seamless CI/CD pipelines using GitHub Actions for both frontend themes
and a standalone Python AI microservice. Implemented automated PHP linting, rsync file synchronization, and integrated
Docker cache clearing, reducing deployment cycles from 5-7 minutes to under 1 minute and completely eliminating service
downtime during updates.
Server Security & Hardening: Fortified Oracle Linux 9 infrastructure by configuring Firewalld (restricting traffic to essential
ports), enforcing strict key-based SSH authentication, and deploying Fail2Ban to autonomously neutralize automated brute-
force attacks. Integrated dnf-automatic for seamless, autonomous installation of critical OS security patches.
Resource Optimization & Performance: Diagnosed and resolved critical Docker Out-Of-Memory (OOM) crashes by
configuring a 4GB Swap file and enforcing strict memory resource constraints via docker-compose.yml. Authored
automated Bash scripts for weekly database defragmentation (OPTIMIZE TABLE) and executed deep cache cleaning,
slashing platform load times from 10-30 seconds down to 1-2 seconds.
Disaster Recovery & Infrastructure Maintenance: Architected an automated disaster recovery pipeline utilizing rclone to
rotate and securely upload full database dumps and system archives to cloud storage. Migrated SSL certificate
management to the Traefik ACME client, ensuring seamless and automated HTTPS renewals without Nginx service
interruptions.
Tech Stack: Oracle Linux 9, Docker, Docker Compose, GitHub Actions (CI/CD), Bash, Python, PHP, Traefik, Nginx, Fail2Ban.

LoreVault
Fullstack Developer // Status: Aug 2026 – Present
A collaborative game lore database and interactive visual story graph editor powered by a multi-agent AI system.
Interactive Story Graph & Canvas Workspace: Engineered an interactive, modular narrative graph editor (React, HTML5
Canvas) supporting dynamic zoom/pan, smooth drag-and-drop operations optimized via CSS hardware acceleration, and
custom bezier-curve connection rendering, allowing writers to design non-linear story branches.
Hybrid RAG Context Architecture: Built a sophisticated Retrieval-Augmented Generation (RAG) system in Django that
dynamically parses, filters (using custom Ukrainian-specific stop-words and morphological matching), and constructs lore
context (characters, locations, plot points) to guide AI text models in real-time.
Asynchronous AI Story Generation & Image Pipelines: Developed an asynchronous backend pipeline (FastAPI
background tasks, Webhooks) that generates non-linear quest nodes and automatically triggers image generation using
Pollinations AI. Optimized the Django webhook receiver with non-blocking worker threads to prevent server request
blocking during image downloads.
Complex Data Management & Custom Fields: Designed a flexible database schema (PostgreSQL) supporting custom
JSON fields for entity categories and story nodes. Implemented automated AI-driven entity creation that dynamically maps
structured JSON parameters to database models directly from the chat.
Tech Stack: Python, Django, FastAPI, PostgreSQL, React, Docker, Git.