04
custom YOLO11 models
trained and integrated for on-device food segmentation
Onur Eren Taşcı
Portfolio / 2026
Portfolio / 2026
Mobile / AI / product
Mobile & AI Software Engineer
Onur ErenTaşcı.
I build cross-platform mobile products and applied AI systems, from architecture through release.
Design / code / applied AI
End-to-end product development
End-to-end product development
AboutProfile / 01
Onur Eren Taşcı · Mobile & AI Software Engineer
From product idea to working software.
Current role
Vespula Software Studio
I’m a Software Engineering graduate and Mobile & AI Software Engineer at Vespula. I take products from early technical decisions to release, then keep them useful in production.
My work sits between cross-platform mobile engineering and applied intelligence: camera pipelines, real-time interactions, native capabilities, subscriptions, multilingual releases, and AI systems that solve a concrete product constraint.
Shared code when it earns its place. Native capability when the platform demands it. On-device AI when the cloud is the wrong dependency.
14
languages shipped
inside a production cross-platform release
1ST
national category win
TÜBİTAK 2242 · Defence, Space & Aerospace
2×
store ecosystems
products released across iOS and Android
Capabilities
What I build from concept to release.
01AREA.01
Mobile systems
Cross-platform products taken from architecture and native integration through QA, store release, and production iteration.
REACT NATIVE / EXPO / TYPESCRIPT / NATIVE APIS / RELEASE OPS
02AREA.02
On-device intelligence
Computer-vision pipelines designed for the device when latency, privacy, or offline resilience makes a cloud round-trip the wrong choice.
YOLO11 / OPENCV / ONNX RUNTIME / PYTORCH / SEGMENTATION
03AREA.03
Product infrastructure
The less visible systems that keep an app useful: real-time state, subscriptions, API contracts, observability, and reliable delivery.
NODE.JS / FIREBASE / POSTGRESQL / WEBSOCKET / CI/CD
04AREA.04
Applied AI & robotics
From RAG and GraphRAG workflows to telemetry interfaces and embedded systems, built around a measurable operational need.
PYTHON / RAG / GRAPH RAG / MAVLINK / PIXHAWK PX4
02 / Selected projects
From idea to working product.
Five product and R&D projects across mobile, applied AI, computer vision, and autonomous flight. Open a project for details and images.
Project collection05 / available
Project 0102 images
NannAI
An AI nutrition assistant that runs meal recognition and portion-aware estimates on device, with optional barcode enrichment for declared-allergen flags.
- React Native
- Deep Learning
- YOLO11
- Llama 3.1
View project
Project 0202 images
DreamLab
A bilingual dream-journaling app with guided logging, record history, automated summaries, and ambient audio.
- React Native
- Mobile Development
- Expo
- Firebase
View project
Project 0302 images
Melodine
A mobile application designed to personalize cafe and restaurant experiences around customer preferences.
- Expo
- React Native
- JavaScript
- MongoDB
View project
Project 0404 images
İkarus UAV AI Dashboard
An award-winning ground-control station combining real-time telemetry, autonomous navigation, and aerial computer vision for competition flight.
- Python
- Computer Vision
- PyQt5
- WebSocket
View project
Project 0502 images
Artify
A React Native image-making experiment that turns short prompts into generated visual studies through Stable Diffusion APIs.
- Expo
- React Native
- Firebase
- JavaScript
View project
Five selected projectsOpen any project for details
ExperienceTimeline / 03
09 roles · 2022—present · on-site / hybrid / remote
Professional experience.
Products shipped, systems tested, teams led, and technical practice taught. Open a role for responsibilities and outcomes.
Role summary
Building cross-platform mobile and AI products end to end inside a small senior team, from architecture and implementation through store release and production support.
Selected outcome
Architecture → release → production
Responsibilities
- 01Ship React Native and Expo applications across iOS and Android with camera, real-time, subscription, and multilingual product flows.
- 02Integrate on-device inference and computer-vision pipelines where privacy, latency, or offline resilience matters.
- 03Contribute to Kök-Zeka, awarded TÜBİTAK BİGG support, and UMAP, recognised with a BİGG Excellence Seal.
Technologies / methods
React Native/Expo/TypeScript/On-device AI/Computer Vision/RAG / GraphRAG
Contact / 04