Atlas Otomotiv
Corporate website for an authorized Eurorepar service in Menemen, İzmir. Built with Next.js and Tailwind CSS, with service, brand, about and contact pages, structured data and a sitemap for local SEO.
Software Engineer
Full-Stack Developer at Supply Chain Wizard with an M.Sc. in Software Engineering from Manisa Celal Bayar University (2024). My thesis compared real-world industrial data with simulator-generated data using deep learning for anomaly detection. I mainly work with Angular, React, Next.js, NestJS, Hasura and React Native, and I share what I learn through Medium articles and GitHub projects.
Location
Izmir, Turkey
Education
Master's Degree
License
B
I create and publish the desired structures in areas such as Web, Mobile, Machine Learning, Backend.
I design and build backend services and APIs with NestJS, Node.js and Hasura (GraphQL), including message-driven services with RabbitMQ.
I completed my master's thesis on deep learning and anomaly detection, and apply machine learning in my projects.
I develop mobile apps with React Native (CLI and Expo) and share what I learn on Medium and GitHub.
I write technical articles on Medium about mobile development, backend and machine learning, and publish my projects on GitHub.
Jul 2023 — Present
CurrentFull-time
Sep 2021 — Jul 2023
Full-time
Mar 2021 — Sep 2021
Full-time
Oct 2020 — Mar 2021
Part-time
Jul 2020 — Sep 2020
Internship
Master Degree · Software Engineering (M.Sc.)
Manisa Celal Bayar University
2021 — 2024
University · Software Engineering
Manisa Celal Bayar University
2017 — 2021
High School
Bergama Akif Ersezgin Anatolian High School
2013 — 2017
Hugo Boss Hackathon First
2021 · Online
Maxion Wheels Hackathon Second
2021 · Online
Tubitak 2209-A Project
2021 · Online
MIP Hackathon Turkey Second
2019 · Turkey, Manisa
Corporate website for an authorized Eurorepar service in Menemen, İzmir. Built with Next.js and Tailwind CSS, with service, brand, about and contact pages, structured data and a sitemap for local SEO.
Management system for a study café: orders, products, campaigns, cash register, expenses, user roles and analytics. React and Vite frontend with a NestJS, TypeORM and PostgreSQL API, JWT authentication and Docker deployment with automated daily backups.
IML DataSoft is the platform I built for my master's thesis. It compares data collected from a real industrial environment with simulator-generated data using deep learning algorithms for anomaly detection, and the results showed that the simulator data was close to the real data. The Next.js web app lets you enter real-world data, create simulator data, define anomaly types, train and run models, and compare algorithm results. The system has four parts: a Next.js web app, a Hasura backend, a Node.js API and a Python API.
The project was developed via Expo CLI. The ready-made mobile UI design was based and improvements were made on it. In practice, the firebase (auth, firestore, storage) infrastructure was used. In the application, there are UI components, map, push notification and database infrastructure. The application will continue to be improved. The application will continue to be improved. You can view changes made to the application in the ChangeLog or under projects.

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