Roman

Roman Andriienko
[open contact info](look above in the "contact info" section) (Telegram/Viber) | [open contact info](look above in the "contact info" section) | LinkedIn

Summary
Specialized in building scalable RESTful APIs and modern Fullstack solutions with a focus on high-velocity
delivery. Hands-on experience in leveraging local AI toolchains (Ollama, ROCm) to automate development
workflows, significantly increasing engineering efficiency and code quality. Proven track record of optimizing
system performance, including a 30% reduction in database response times and achieving 70% test coverage
for complex business logic. Focused on contributing to professional engineering teams and building high-load,
scalable systems.

Skills
Technologies:
• Backend: .NET 8, C#, ASP.NET Core Web API, EF Core, LINQ, REST API, JWT/RBAC.
• Frontend: React, Next.js, JavaScript, HTML5/CSS3.
• Cloud & Infra: Docker, PostgreSQL, SQL, Linux (WSL), AMD ROCm, Git.
• AI & Productivity: Local LLM deployment (Ollama, LM Studio), Prompt Engineering, AI-assisted
development.
• Methodologies: Agile, Scrum, Clean Architecture, DDD, SOLID, Unit/Integration Testing (xUnit, Moq).

Languages:

• English (B1+), Ukrainian (native).

Experience
.NET Developer | Pharmacy-commerce project (NDA) | November 2024 – April 2026 |
Responsibilities:

• Designed and implemented secure RESTful API endpoints for product catalogs, orders, and loyalty
systems using Clean Architecture and DDD.
• Developed complex business logic for automated promo validation and tiered discounts using C#
and .NET 8.
• Managed PostgreSQL database: schema design, EF Core migrations, and query optimization.
• Integrated JWT authentication with RBAC and built asynchronous notification services.
• AI-Driven Development: orchestrated a local Linux/WSL environment with AMD ROCm to run
LLMs (Ollama) for rapid Next.js prototyping and automated test generation.
• Collaborated in an Agile environment, participating in code reviews to ensure technical excellence.

Key Achievements:

• Performance: optimized SQL queries and indexing, reducing average API response times by ~30%.
• Quality: established testing practices (xUnit, Moq), increasing code coverage to 70% on the business
logic layer.
• Efficiency: accelerated the development cycle by leveraging local AI toolchains, resulting in ~25%
faster feature delivery.
• Infrastructure: containerized the application ecosystem with Docker, ensuring consistency across
development and production; integrated basic CI/CD pipelines.