Research Assistant
Constructor University, Bremen, Germany
Working full-time as a Research Assistant in Prof. Dr. Peter Baumann's research group. Focused on scientific research and the development of high-performance geospatial data systems.

A curated list of the hardware, software, and tools I use to build software and stay productive.
Gaming Laptop with Intel Core Processor, NVIDIA GeForce RTX GPU, 15.6-inch 144Hz display, 16GB+ RAM, 512GB+ SSD.
My daily driver operating system.
Backup machine.
My local AI assistant. Powered by Ollama and PyQt6.
Native iCloud sync for Linux. Built with Python and FUSE.
My primary code editor. Customized with the Dracula theme.
Go-to IDE for Java/JVM development.
For API development, testing, and documentation.
AI assistant for coding and problem-solving.
Invaluable resource for programming Q&A and problem-solving.
GPU-accelerated terminal emulator for speed and simplicity.
Research Assistant · Software Engineer
Constructor University, Bremen, Germany
Working full-time as a Research Assistant in Prof. Dr. Peter Baumann's research group. Focused on scientific research and the development of high-performance geospatial data systems.
Research · Computer Science · Systems
Softgen, Tbilisi
Engineered Java-based integration solutions to automate interactions with the Georgian Revenue Service. Streamlined data exchange processes and collaborated with cross-functional teams to integrate secure APIs.
Java · Spring Boot · REST APIs · Integration
FINA LLC, Georgia
Developed an internal security system using Raspberry Pi clusters. Administered the company's main web platform and received in-depth training on Java EE backend architectures.
Python · IoT · Linux Ops · NGINX
Constructor University, Bremen, Germany
Thesis grew into GSIP, published at IntelliSys 2026.
Buckswood International, Tbilisi, Georgia
Rati Vardiashvili, Dimitar Mishev & Peter Baumann
proceedings of the Intelligent Systems Conference 2026 (IntelliSys 2026) — Deep-learning inference framework and a CLI tool able to efficiently analyze scenes that are orders of magnitude larger than available memory. Optimizes for both budget hardware and high-end workstations.
doi:10.1007/978-3-032-32729-1_47
My Bachelor's thesis: A high-performance inference pipeline for gigapixel satellite imagery. Solves 'grid artifacts' using seamless reconstruction and dynamic memory management.
PyTorch, Rasterio / GDAL, Hydra, GTK4, multiprocessing
A robust FUSE filesystem that mounts iCloud Drive on Linux. Features optimistic syncing, sparse caching for large files, and conflict resolution.
Python, FUSE / pyfuse3, SQLite, GTK3