Kartal Kaan Bozdoğan

Developed a back end using Node.js and Parse server, acting as a main back-end developer. I used Git for version control, MongoDB as the database, Sentry for analytics, Turf and Mapbox for geospatial operations, and JSON Schema to allow different teams to ensure the interoperability of their data and components.
The back end handles access control, platform statistics, user management, email verification, and real-time synchronization of the clients. Further, it uploads real-time logs to Elasticsearch via Filebeat and visualizes user statistics using Kibana.

I took responsibility for the internal CLI that uses Python and Poetry. The CLI is primarily used by the team to manage the platform and has capabilities such as uploading client data, creating new users, and assigning permissions to them.
As an internal tool, the CLI receives frequent feedback from colleagues and is updated and improved accordingly.

An academic research project I carried out at the Technical University of Munich resulted in a publication in the prestigious international systems software conference EuroSys 2022.

The project aims to expand the memory safety capabilities of the widely-adopted Address Sanitizer to the realm of persistent memory, a relatively recent and niche technology pioneered by Intel, mainly marketed towards data centers as a low-latency non-volatile cache. In addition to the publication, the source code is available on GitHub.

An operating system skeleton I worked on as a hobby in my free time. It has a memory manager, runs 64-bit mode, and supports an advanced host controller interface (AHCI) and integrated development environment (IDE).

It can read master boot record (MBR) and GUID partition table (GPT) and can be either booted natively or virtualized.