Степан

Stepan Oleksiuk Backend Engineer
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація»)

Ivano-Frankivsk, Ukraine Linkedin GitHub Telegram

Backend Engineer focused on scalable backend systems, async processing, and AI-powered automation.
Architected and shipped production-grade backends from scratch, improved API performance by up to
70%, and reduced AI operation costs by ~50% through pipeline optimization. Experienced with FastAPI,
Django, PostgreSQL, MongoDB, Redis, Celery, RabbitMQ, Docker, and OpenAI integrations.

Experience
Backend Developer, Aurorium (via Qubiq) 2026 – Present
Multi-Service Backend Platform (FastAPI, MongoDB, RabbitMQ)
Eliminated ~50% message loss — diagnosed and fixed a critical RabbitMQ
•

consumer bug causing event drops across services
Reduced startup migration module by ~70% — moved logic to DAO/model
•

layer, eliminating boot-time DB inconsistencies
Conducted a dependency audit and escalated 7 vulnerabilities, including 2
•

critical issues, leading to codebase hardening and remediation

Backend Developer, :DTeam 2024 – Present
Mobile App Backend (Django/DRF)
Architected and solely built a production Django/DRF backend from scratch:
•

16 modular apps, 60+ REST endpoints, 33+ DB models, deployed with
Docker, NGINX, and GitLab CI/CD
Improved critical endpoint performance by up to 70% — eliminated N+1
•

queries with select_related/prefetch_related and applied bulk operations
Integrated RevenueCat handling 10 webhook event types (subscription
•

lifecycle + one-time purchases)
AI Market Intelligence Tool (TypeScript, Gemini API, Playwright)
Cut client ad costs by 20–30% — automated keyword and campaign
•

monitoring with auto-disabling of underperforming ads
Reduced AI generation costs by ~50% by migrating to Batch API; cut data
•

collection time by ~67% through pipeline optimization

Creator & Maintainer, Personal Project 2026 – Present
Personal AI Agent Orchestrator (Python, Claude, multi-agent system)
Designed and operate a multi-agent orchestration system — Team Lead,
•

Backend, Mobile, QA, Security, and DevOps subagents — coordinating 5+
independent projects via a Telegram-based interface, running on Claude
subscription instead of a pay-per-token API
Built a real-time control panel (Roki Island), used daily for live project/token
•

monitoring and remote administration (terminal access, model/effort tuning)
across the orchestrator fleet
Built a Telegram job-vacancy scraper that cut personal job-application
•

response time by ~20–30%

SKILLS
Web Frameworks: Databases:
Django, Django REST Framework, FastAPI PostgreSQL, MongoDB, Redis, AWS S3,
Cloudflare R2, Cloudinary
Async & Messaging:
Celery, RabbitMQ, AsyncIO, WebSockets AI & Automation:
OpenAI API, ElevenLabs, AI workflow
Web Scraping & Automation: automation, prompt pipelines, structured
Playwright, Selenium, Scrapy, BeautifulSoup outputs, batching, rate limiting

Monitoring & Observability: DevOps & Infrastructure:
Sentry, Grafana, Prometheus Docker, Docker Compose, NGINX, CI/CD
(GitLab), Linux (SSH, cron, logs)
Testing:
Pytest, unittest, integration testing, API testing, Tools:
mocking Git, GitHub, GitLab, Postman, Swagger/OpenAPI

Education and Qualifications
Python Developer, Mate Academy 2023 – 2025
Python development at Mate academy with mentor support, practical projects, Online
databases, and testing.

CS50: Introduction to Computer Science, Harvard University 2022 – 2023
Аlgorithmic thinking, problem-solving efficiency, and hands-on problem sets Online
across C, Python, and web.