Глєб

Hlieb Baranov
DevOps Engineer
Spain | [відкрити контакти](див. вище в блоці «контактна інформація») | github.com/4iPeR13

SUMMARY
Python backend developer and Applied Mathematics graduate (information security) moving into DevOps. Led and built my own
product: Python backend for Android emulator automation, ML components, deployment on AWS EC2. Building hands-on
experience with Docker, CI/CD (GitHub Actions) and AWS through a public portfolio project. Security-minded, analytical, and
used to working under pressure and owning results.

TECHNICAL SKILLS
Operating systems: Linux, macOS
Scripting & programming: Python, Bash, C++, OOP
Containers: Docker, Docker Compose, Kubernetes
CI/CD & version control: Git, Jenkins, GitHub Actions
Cloud: AWS (EC2, IAM, S3, Security Groups, Lambda)
Web & networking: Nginx, HTTP/HTTPS, DNS, TCP/IP, TLS, OSI
Machine learning: PyTorch, NumPy, state-space models (S4D, Mamba)
Frontend: HTML, CSS, JavaScript (AI-assisted development)
Databases: MySQL, PostgreSQL, SQL
Security: Applied cryptography, secure configuration basics, secrets handling

PROJECTS
Containerized Web Service with CI/CD and Monitoring Sep 2026 – Present
Personal portfolio project | github.com/4iPeR13
• Built a small REST API in Python (FastAPI) backed by PostgreSQL and containerized it with a Dockerfile and Docker Compose.
• Set up a GitHub Actions pipeline that runs linting and tests, builds the Docker image and pushes it to a registry on every
commit.
• Deployed the service to an AWS EC2 instance behind Nginx as a reverse proxy with HTTPS; restricted access with Security
Groups and IAM.
• Added monitoring with Prometheus and Grafana and wrote Python/Bash scripts for database backups and health checks.
State-Space Models Comparison: S4D vs Mamba 2026
Research project | github.com/4iPeR13/basic_ufe_comparison
• Implemented S4D and a Mamba-style selective SSM block in PyTorch and compared them on impulse/step response, power
spectrum and stability (eigenvalues, spectral radius).
• Benchmarked parameter count and CPU inference latency; documented results in a LaTeX report.

EXPERIENCE
Fullstack Developer — Own Product (NDA) Jul 2025 – Sep 2026
Remote | Self-initiated product built with a small team
• Designed the product and its architecture, defined scope and requirements, and coordinated a small development team.
• Developed the Python backend, including control and automation of multiple Android emulator instances.
• Built and integrated machine learning components in Python.
• Deployed and ran the backend on AWS EC2 instances.
• Built the web-based UI (HTML/CSS/JavaScript) using AI-assisted development tools.

EDUCATION
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” 2021 – 2026
Bachelor’s in Applied Mathematics: Methods of Mathematical Information Security. Thesis: analysis of ARX-based cryptosystems

LANGUAGES
Ukrainian — Native | Russian — Fluent | English — B2 (Upper-Intermediate)