A mobile application aimed at teaching sign language effectively. Developed using PHP (Slim Framework), Ionic Framework (Angular 2+) and MySQL database. The project was entered into the IEEE MadC 2018 competition.

Continuation of Empati V1, developed with React Native for the mobile frontend due to performance limitations of Ionic's animations. Entered into the IEEE MadC 2019 competition.

A mobile application using Bluetooth LE to prevent asset loss. Backend in GoLang, web interface in ReactJS, database in MongoDB, and mobile app in React Native. Entered into Uşak TTO competition. The concept was later realized commercially by Samsung Galaxy Tag and Apple AirTag in 2021.

A user authorization system with fingerprint verification. Contributed to both frontend and backend development using Java and PHP. The work resulted in a publication in the European Journal of Science and Technology.

A mobile application for field workers collecting waste oil, developed in Kotlin using MAD tools and methods (Datastore, Architecture Components, Hilt, Navigation, Databinding, ViewBinding).

Developed the second version using React Native with a more elegant UI, enhanced customer operations, statistics, and management platforms. Tech stack includes Zustand, Gluestack, Axios, and TanStack Query.

Contributed to a project aimed at generating precise subtitles using AI. Built with Whisper, GPT-3.5, Go, Python, ReactJS, and Framer.

Contributed to creating an AI-based consultant for Sustainability Reports. Leveraged Vercel, Supabase, ReactJS, Python, RAG architectures, and Qwen models.

Contributed to a class-based HTTP framework built for BunJS, including the development of class-based TCP and UDP servers for the framework.