location: Budapest, Hungary
education: Budapest University of Technology and Economics (BME)
degree: Bachelor of Computer Science Engineering (2023 - 2027)
focus: Systems Programming, GPU Computing, Cloud Infrastructure
currently: Research Team Member @ BME — AI-assisted assessment platform
languages: Romanian (native), English (C1), German (B1), Russian (A2)Current Focus
- University research — part of a BME team building a platform that generates student assessments and uses AI for personalised feedback; working on anti-cheating safeguards
- Open source — contributing ARM64 Linux build fixes to jellyfin-desktop (native aarch64 builds, CEF detection, bundled libmpv packaging)
- Atlas — my self-hosted hybrid cloud: VPS edge + home server over a WireGuard tunnel, ~10 containerised services behind Nginx/Caddy, hardened with CrowdSec IPS
- GPU computing — CUDA C/C++ (NVIDIA certified) and real-time inference: YOLOv11 object detection with Apple Metal (MPS) acceleration and FP16 optimisation
Experience
Research Team Member @ Budapest University of Technology and Economics (BME) Budapest, Hungary | Jul 2026 - Present
- Building a platform that generates assessments for students and uses AI to give personalised feedback
- Contributing anti-cheating safeguards that protect the integrity of assessments
Financial Operations Analyst Intern @ _VOIS (Vodafone) Budapest, Hungary | Jul 2024 - Oct 2024
- Processed and validated invoices and payment transactions ensuring compliance with local tax regulations
- Streamlined P2P reporting workflows in Excel; collaborated across Finance, Procurement, and Legal using SAP
Core Competencies: Algorithms • Data Structures • GPU Programming (CUDA) • Systems Programming • DevOps & CI/CD • Networking (CCNA) • Data Modeling • Site Reliability
| Certification | Issuer | Year |
|---|---|---|
| Intel® Tiber™ Trust Authority | Intel | 2025 |
| CS50x: Introduction to Computer Science | Harvard University | 2025 |
| Fundamentals of Accelerated Computing with CUDA C/C++ | NVIDIA | 2025 |
| Code in Place | Stanford University | 2025 |
| CCNA: Introduction to Networks | Cisco | 2025 |
| Developing a Google SRE Culture | Google Cloud | 2023 |
View All Certifications
| Certification | Issuer | Date |
|---|---|---|
| Client Platforms | Intel | — |
| Cloud DevOps | Intel | — |
| MongoDB Data Modeling Intro | MongoDB | Nov 2023 |
| DevOps Essentials | IBM | Sep 2023 |
| Introduction to Agile Development and Scrum (with Honors) | IBM | May 2023 |
| MongoDB and the Document Model | MongoDB | May 2023 |
| Connecting to a MongoDB Database | MongoDB | Dec 2022 |
| Getting Started with MongoDB Atlas | MongoDB | Dec 2022 |
| Machine Learning with Python | IBM | Nov 2020 |
| Google Cloud Fundamentals: Core Infrastructure | Google Cloud | Oct 2020 |
| Developing the SIR Model | Imperial College London | May 2020 |
| Fundamentals of Graphic Design | CalArts | May 2020 |
| Introduction to Artificial Intelligence (AI) | IBM | May 2020 |
| Introduction to Programming in Swift 5 | LearnQuest | Apr 2020 |
| Technical Support Fundamentals | Apr 2020 |
Numerical integration engine with a hand-written recursive descent parser, five adaptive methods, wxWidgets GUI, and a CTest suite. Ported across three language standards (C90 → C++98 → C++23) to study how C++ idioms evolved.
VPS edge and home server linked over an encrypted WireGuard tunnel, hosting ~10 containerised services with Docker Compose, Nginx L4 stream proxying, Caddy, CrowdSec IPS, and GitOps-managed configuration.
jellyfin-desktop (open source)
ARM64 Linux support for the Jellyfin desktop client: native aarch64 builds, CEF wrapper detection fixes, and bundled libmpv packaging.
