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Presentation
Full-stack developer with over 5 years of experience in mobile (Flutter, Swift, Xamarin.Forms) and web development, from architecture and interface design to deployment. Backed by a Ph.D. in adaptive learning systems and user experience. Proficient in various programming languages, frameworks, and tools. Experience in teaching and supervising students.
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Offered services
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App development
Creation and publication of a desktop and/or mobile application.
- Modern UI/UX design for the given platform
- Animations
- Intuitive navigation and information hierarchy
- Complex features (local ...
500 $
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Website creation
Creation and deployment of a custom website:
- Landing page
- Forms with validation, emailing
- Dynamic content (content management system, e.g., Sanity.io)
- Accessibility
- Localization ...
500 $
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Background
Doctoral Researcher
Architected and operated the Flutter app 'BEACON Q' with Node.js + MongoDB backend, Dockerized deployment. Taught labs for 10+ courses and supervised 10+ students' final theses.
Mobile App Developer (part-time)
Rewrote the native Android app 'Yactul' as a cross-platform Xamarin.Forms app, adding iOS support. Managed app release on Play Store and App Store.
Ph.D. in Computer Science
Developed the new quiz platform "BEACON Q", with advanced features such as adaptive difficulty, review recommendations, recall analysis and various gamification elements. Also developed the new block-based programming framework "DartBlock" which adopts a user interface and experience design tailored for mobile devices, alongside support for quiz integration through automatic program evaluation and difficulty adjustment.
Thesis: BEACON Q: Encouraging Regular Self-Testing via a Personalized and Gamified Quiz App
Thesis: BEACON Q: Encouraging Regular Self-Testing via a Personalized and Gamified Quiz App
Master in Information and Computer Sciences
Machine Learning // Software Vulnerabilities // Security Engineering // Causal Learning
Thesis: Reimagining semantic search through word embeddings and machine learning
Thesis: Reimagining semantic search through word embeddings and machine learning
Bachelor in Computer Science (professional)
IT Security // Web Programming // Mobile Programming (Android) // Data Analysis (R) // Design Patterns // Programming (Java, Swift) // Operating Systems // Database Systems (SQL) // Algorithms // Statistics
Thesis: Enhanced digital note-taking through machine learning and semantic annotation
Thesis: Enhanced digital note-taking through machine learning and semantic annotation
🇩🇪Deutsch 🇬🇧English 🇮🇷Persian 🇫🇷French
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Working hours
Monday
From08h00To18h00
Tuesday
From08h00To18h00
Wednesday
From08h00To18h00
Thursday ▪ Today
From08h00To18h00
Friday
From08h00To18h00
Saturday
Closed
Sunday
Closed
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