
Maaz Adnan
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Maaz Adnan
- 1 year, Apr 2025 - Mar 2026
Software Developer
Digital Auxilius
• Developed and maintained high-performance, responsive web applications using React.js, Next.js, TypeScript, JavaScript, and Tailwind CSS, ensuring scalability and optimization. • Contributed to the company’s core product, including AI-powered features, improving UI/UX, usability, and overall performance in collaboration with cross-functional teams. • Worked in an Agile environment using Git, Jira, and CI/CD pipelines to manage version control, sprint workflows, and streamline deployment processes. •
- 4 months, Dec 2024 - Mar 2025
Trainee Software Developer
Digital Auxilius
• Gained hands-on experience with JavaScript, React.js, Next.js, TypeScript, and Tailwind CSS • Built responsive, user-friendly interfaces and practiced component-based architecture • Developed multiple frontend projects applying modern coding standards and best practices • Integrated APIs and managed dynamic data rendering for seamless user interaction • Collaborated using Git and participated in code reviews to improve code quality
Ausbildung von Maaz Adnan
- Current 3 months, since Apr 2026
Master's Degree
Paderborn University
- 5 months, Jan 2025 - May 2025
Data Engineering Bootcamp
atomcamp
Completed an intensive, project-based bootcamp focused on real-world applications of Data Engineering. Developed strong proficiency in data modeling, SQL, ETL pipeline development, and data transformation. Gained hands-on experience with cloud platforms (AWS, Azure, GCP), modern data tools like Big
- 7 months, Sep 2023 - Mar 2024
Data Science & AI Bootcamp
atomcamp
Completed an intensive, project-based bootcamp focused on real-world applications of Data Science and Artificial Intelligence. Developed strong proficiency in Python, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Large Language Models (LLMs), and MLOps. Built
- 3 years and 11 months, Oct 2020 - Aug 2024
Computer Science
DHA Suffa University
XING Mitglieder mit ähnlichen Profilangaben
XING – Das Jobs-Netzwerk
Über eine Million Jobs
Entdecke mit XING genau den Job, der wirklich zu Dir passt.
Persönliche Job-Angebote
Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.
21 Mio. Mitglieder
Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.
Kostenlos profitieren
Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.
