Senior Mobile Application Developer & AI Enthusiast Specialized in High-Performance Flutter Architecture & Local AI Integration
6+ years of experience in the mobile development ecosystem, building scalable, high-performance, and user-centric applications. Proven track record of architecting and deploying over 40+ applications across the App Store and Google Play Store.
Currently focusing on bridging mobile technologies with on-device LLMs (Local AI) to build privacy-first, offline-ready intelligent systems.
| Category | Technologies & Tools |
|---|---|
| Frameworks & Languages | Dart, Flutter, Native Integration (iOS/Android) |
| State Management | BLoC / Cubit, GetX |
| Database & Storage | Hive, Isar, SQLite, Firebase, Postgres |
| Architecture & Patterns | Clean Architecture, DDD, Offline-First Systems, Repository Pattern |
| AI & Automation | Local LLM Integration (Ollama, DeepSeek, Qwen), LangChain, Vector DBs |
| Hardware & IoT | RFID, M-Bus Protocols, Hardware Sensor Integrations |
| CI/CD & DevOps | Codemagic, GitHub Actions, Fastlane, Docker |
An AI-powered pronunciation coach supporting 13+ languages and 33+ dialects. Features real-time audio processing and linguistic feedback loops.
- Tech Stack: Flutter, Advanced Audio Processing, Custom Signal Analytics.
An ongoing development of a local-first, privacy-focused AI vault. It processes PDFs, images, and audio directly on-device using local inference models.
- Tech Stack: Flutter, Local LLMs (Ollama/Qwen/DeepSeek), On-Device Vector Databases.
An enterprise-grade mobile solution developed for industrial field operations, data acquisition, and real-time monitoring.
- Tech Stack: Flutter, M-Bus Device Reading, RFID Hardware Scanning, Live Mapping Components, Offline-First Synchronization.
- Portfolio: ahmetveysel.com
- GitHub: github.com/ahmetveysels
- LinkedIn: linkedin.com/in/ahmetveysels
- Email: avs.sezer@hotmail.com