
Mouaz Meda
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Mouaz Meda
- 1 Jahr und 1 Monat, Juni 2024 - Juni 2025
Senior Frontend Developer
galabau workgroup GmbH
• Led the modernization of a legacy web application by rebuilding it using React, TypeScript, and Redux, reducing load time by ~30% and improving code maintainability. • Migrated UI components to Ant Design, Tailwind CSS, and shadcn/ui, improving development speed by ~25% and enhancing design consistency. • Refactored outdated frontend logic and implemented scalable, modular architecture, reducing bug reports. • Collaborated closely with backend developers, designers, and product managers.
- 4 Jahre und 3 Monate, Jan. 2020 - März 2024
Frontend Developer
Klima.Metrix GmbH
• Core frontend engineer on a carbon footprint SaaS platform used by 20+ enterprise clients over 4 years. • Managed sprint planning and task prioritization using Kanban, ensuring consistent delivery and improving cycle time by ~20%. • Evaluated, integrated, and audited third-party libraries for functionality, performance, and security, reducing bundle size by ~15%. • Collaborated with backend teams on RESTful API design and integration, ensuring reliable client–server communication.
- 8 Monate, Juni 2019 - Jan. 2020
Frontend Developer
Piloteers GmbH
• Delivered mobile-first web applications across 3 products, focusing on responsiveness and performance, leveraging React and TypeScript to build engaging cross-device experiences. • Implemented 15+ Google Accelerated Mobile Pages (AMP), improving page load speed and mobile search visibility.
• Contributed to an Agile, cross-functional team building microservices-based applications with Java, Spring Boot, Angular, Docker, and Jenkins gaining valuable full-stack perspective that continues to inform my frontend work today.
Ausbildung von Mouaz Meda
- Bis heute 7 Monate, Mai 2026 - Nov. 2026
AI Engineering
Masterschool
• Applied LLM engineering with Python, FastAPI, and REST APIs to integrate OpenAI/Gemini APIs and build AI agents with tool calling. • Built RAG systems using SQLAlchemy/PostgreSQL and vector databases (Pinecone, ChromaDB) for private data retrieval and context engineering at scale. • Deployed scalable AI applications with RESTful APIs, cloud services, and CI/CD pipelines, improving system performance and maintainability while implementing observability and evaluation tooling.
- 1 Jahr und 1 Monat, Aug. 2017 - Aug. 2018
Full Stack Web Developer
DCI Digital Career Institute gGmbH
- 5 Jahre und 8 Monate, Sep. 2009 - Apr. 2015
Accountiung and Auditing
Damascus University
Sprachen
Deutsch
C1 (Fließend)
Englisch
C1 (Fließend)
Arabisch
C2 (Verhandlungssicher / Muttersprachlich)
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