About:
Yuliya is a versatile full-stack JavaScript developer with over six years of experience delivering scalable, user-focused applications and an expanding specialization in machine learning solutions. She began her career in frontend development, mastering React and modern UI architecture, and later advanced into backend systems with Node.js, NestJS, and relational databases.
In recent years, Yuliya has applied her technical skills to AI and automation projects, including a legal tech platform that used ChatGPT, n8n, and Groq to automate the identification of legal cases and eliminate manual vetting tasks. She designed and optimized prompt logic, built no-code automation, and delivered an MVP that generated measurable value with minimal engineering effort.
Her toolkit includes JavaScript, TypeScript, React.js, Next.js, Node.js, React Native, and AWS, along with strong capability in testing (Jest, Cypress), containerization (Docker), and serverless deployment. She brings together full-stack engineering depth with emerging ML workflows.
Yuliya thrives in complex, cross-disciplinary environments, pairing product awareness with precise technical execution and practical AI adoption to solve challenging problems at scale.
Tech expertise:
- Full-stack JavaScript and TypeScript development (React.js, Next.js, Node.js, NestJS)
- Mobile application development (React Native)
- AI and ML integration for production systems (LLMs, ChatGPT, Groq)
- No-code and low-code automation (n8n, AI workflow design)
- Prompt engineering and optimization for domain-specific use cases
- Backend architecture and API development (REST, GraphQL)
- Testing automation (Jest, Cypress) and CI/CD pipelines
- AWS cloud infrastructure, Docker, and Serverless deployments