Роман
Python engineer
- Age:
- 31 years
- City:
- Kyiv
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Process Engineer / Python Backend Developer
Kyiv, Ukraine | Email: [
TECHNICAL SKILLS
Software Development: Python, FastAPI, OOP, SOLID principles, REST API design
Tools & Databases: Docker, Git, SQL, PostgreSQL, MongoDB
Engineering & CNC: SolidWorks (3D Modeling & Technical Drawings), Tooling & Fixture Design, CNC
Milling Machines, CNC Laser Cutters, G-code generation and analysis
Operating Systems: Windows, Linux (basic user level)
PROFESSIONAL EXPERIENCE
Process Engineer
State-Owned Manufacturing Enterprise | 2026 – Present
• Design, develop, and modify technical drawings, blueprints, and specialized production fixtures (hangers,
racks, and tooling) within the SolidWorks CAD environment.
• Operate, configure, and prepare control programs for industrial CNC milling machines and CNC laser cutting
equipment.
• Coordinate the preparation and technical setup of components and custom fixtures for plating shop operations.
• Perform mechanical assembly, troubleshooting, and basic benchwork adjustments to support workshop
operations.
Python Backend Developer
Software Development / Projects | 2022 – 2025
• Designed and developed server-side architecture for web applications utilizing the FastAPI framework.
• Built and integrated secure REST API endpoints and managed relational and non-relational database
structures.
• Containerized applications using Docker to ensure seamless deployment and testing in Linux environments.
• Maintained clean code structure using Git version control and adhered to object-oriented programming best
practices.
EDUCATION
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" (NTUU KPI)
Incomplete Higher Education, Mechanical Engineering / Metal-Cutting Machine Tools and Systems
Hillel Computer School
Course: Python Backend Development
ADDITIONAL INFORMATION
• Languages: Ukrainian (Native), English (Technical proficiency: reading documentation, manuals, and software
specifications).
• Core Competencies: Strong analytical and engineering mindset, result-oriented approach, capability to
efficiently bridge the gap between software logic and physical hardware or machinery operations.
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