Andrii Svatyk
I am senior full-stack developer
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Premium AI Video Suite | AKOOL
AKOOL is a breakthrough Generative AI platform for personalized visual marketing and advertising. With AKOOL, marketing creators and innovators can build custom, engaging experiences that pull people inside the brand in a way that converts them into loyal customers.
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Digital Signage & Smart Space Management Platform (Vue + Laravel)
Designed and developed a full-stack web platform for digital signage and smart space management using Vue.js and Laravel. The project focused on building an enterprise-grade admin system that allows organizations to manage buildings, digital screens, and media content from a centralized dashboard. As a full-stack developer, I worked on both the frontend and backend, covering UI architecture, business logic, database design, and system integration.
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24/7 YouTube Live Streaming Automation Backend (Node.js)
Designed and implemented the backend architecture for a SaaS platform that enables 24/7 YouTube live streaming using pre-recorded videos. The system automates continuous live streams without manual intervention, allowing users to upload videos, create playlists, and keep YouTube Live streams running reliably at all times. As a backend engineer, I was responsible for building the core API, streaming automation logic, job queue system, and cloud-based infrastructure required for always-on media streaming.
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Cross-Platform Digital Identity App (React Native & Firebase)
Designed and implemented a cross-platform mobile frontend architecture for a secure digital identity and passport management application. Key contributions included: - Designing a cross-platform frontend architecture using React Native and TypeScript to support iOS and Android from a shared codebase. - Implementing core application screens such as Dashboard, Digital Passport, Profile, and QR-based verification flows. - Integrating Firebase Authentication for secure user login and session management. - Using Firestore real-time listeners to reflect identity status updates instantly within the app UI. - Implementing biometric authentication (Face ID / Touch ID) and secure local storage for sensitive session data.
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Enterprise DevOps Architecture for AI & Media Analytics Platform
The project focused on building a secure, scalable, and highly available infrastructure to support a full-stack SaaS application with real-time data processing, media delivery, and audience analytics. Key responsibilities included: - Designing CI/CD pipelines using GitHub Actions and Docker for automated build, test, and deployment workflows. - Deploying backend services (Node.js and Python/FastAPI) on AWS using container-based infrastructure (ECS/EC2). - Configuring cloud resources such as RDS (PostgreSQL), S3, and CloudFront for reliable data storage and media distribution. - Implementing environment separation (dev/staging/production) and zero-downtime deployment strategies.
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