Software Engineer | Full-Stack, Mobile and AI-Focused Developer
Computer Engineering graduate from METU NCC.
I build practical full-stack systems across web, mobile, backend APIs, dashboards, and AI-assisted workflows. My work focuses on maintainable product features, secure role-based systems, clean user flows, and data-driven software.
- Full-stack development with React, Next.js, React Native, Django, and Node.js
- Mobile development with Expo and React Native
- Backend APIs with Django REST Framework, Spring Boot, and Node.js
- AI-focused projects involving computer vision, NLP, TTS, and ML integrations
- Experience building inventory, service, dashboard, automation, and analysis systems
Full-stack inventory, delivery, and recommendation system with web, mobile, backend, and ML modules.
- React + TypeScript admin panel
- Expo React Native mobile app
- Django REST API with JWT authentication and role-based permissions
- ML-assisted stock intelligence, recommendation, and forecasting workflows
Full-stack face analysis application with React, Flask, DeepFace, OpenCV, and Supabase.
- Image upload and analysis workflow
- Python Flask backend for model-driven analysis
- Supabase authentication and profile management
- Portfolio-ready frontend/backend architecture
Automation pipeline concept for generating and publishing social media video content.
- Python-based automation flow
- API integrations for publishing workflows
- NLP and TTS-assisted content generation
Software Engineering Intern - Chip Computer
Built a technical service management system with Next.js, React, Tailwind CSS, TypeScript, and SQLite. The system replaced paper-based workflows and included tracking and revenue monitoring dashboards.
Software Engineering Intern - Arcelik & LG
Developed a barcode-based stock and inventory management system with Python, Tkinter, PyODBC, and MySQL/MSSQL. Implemented role-based authentication, audit logging, and operational reports.
- Production-ready Django and DRF backends
- React, Next.js, and React Native applications
- AI-assisted automation and computer vision projects
- Clean system design, testing, and maintainable codebases

