Luxembourg • LLM • Space • AI • Cybersecurity

Attila Nemet

ICT Professional · Space Technologies Master · 42 School · DLH Academy

20+ years engineering resilient telecom networks across 4 continents. Now expanding into space technologies, systems programming, LLMs, Agentic AI and Cybersecurity.

About Me

Where Telecom Meets Space, AI and Cybersecurity

With over two decades of broad experience in ICT at Ericsson, I have engineered resilient radio access networks across Europe, Asia, Africa, and America — bridging 2G, 3G, 4G and 5G technologies for operators including Vodafone, O2, T-Mobile, Swisscom, KPN and others.

In 2022 I pursued a Master’s in Space Technologies and Business at the University of Luxembourg, writing my thesis on using Large Language Models for space software testing. I also built the Lens Flare Wizard — a Python/Blender toolkit that generates synthetic training images for computer vision models.

Since 2025 I have been deepening my systems programming skills at 42 School Luxembourg, currently at level 11 with 98% of the Common Core completed, working in C, C++, Python and specializing in AI/LLM at 42 and Cybersecurity at the DLH Academy.

20+
Years in ICT
20+
Countries
MSc
Space Technologies
11 ⟡ 98%
42 School Level

Languages

EnglishC2 Fluent
RomanianC2 Fluent
FrenchB1 / B2
GermanB1 / B2
HungarianNative

Career Journey

Two Decades of Engineering

2026 — Present

DLH Cybersecurity Academy Student

DLH AcademyLuxembourg

  • A 12-month intensive training program in cybersecurity
  • Hands-on skills in defensive and offensive security operations
  • Focus on network security, penetration testing, and incident response
  • Preparation for CompTIA Security+ and PenTest+ certifications
2025 — Present

Common Core Student

42 LuxembourgLuxembourg

  • Level 11 ♦ 98% Common Core completed
  • Projects: minishell, miniRT, webserv, Inception, ft_transcendence
  • C, C++, systems programming, Docker, HTTP server implementation
2022 — 2024

MSc Student — Space Technologies & Business

University of LuxembourgLuxembourg

  • Master's thesis: LLMs for space software testing
  • Scientific project: Lens Flare Wizard (Python/Blender) for CV training datasets
  • Focus areas: SatCom, Computer Vision, Space Robotics, Space Informatics
2015 — 2023

Business Analyst ♦ Software Tester

EricssonBudapest, Hungary

  • Mass configuration of telecom equipment using AI and ML concepts
  • Load testing design for routers and 4G/5G telecom nodes
  • Python scripting for RAN (3G/4G/5G) configuration and automation
2012 — 2015

OPM Support ♦ Technical Lead

EricssonGermany, Ireland, Hungary

  • Technical lead for Mosaic LTE Rollout program (Dublin, Ireland)
  • RNC/EVO configuration support for Swisscom, E-Plus, KPN, EPT
  • Scripts for simultaneous 2G/3G/4G integration of two Irish operators
2004 — 2012

Senior Network Integration Engineer

Ericsson EMEAEurope & Africa

  • 3G network rollout: Egypt (Etisalat), Montenegro, Sweden (Telia)
  • MSS migration and RNC expansion in Hungary, Slovenia
  • RBS swap and integration across Vodafone, O2, Meteor networks
2002 — 2004

Network Integration Engineer

Ericsson EMEAEurope & Africa

  • HLR redundancy implementation in Tunis, Tunisia
  • BSC, RNC and RBS start-up and integration in Hungary
  • Perl scripting for RBS configuration file generation

Skills

Technical Expertise

Python92%
C / C++81%
Perl77%
AI / ML / LLMs84%
Network Engineering (RAN)98%
Docker / Linux75%
Git / CI72%

Protocols & Standards

GSM / WCDMA / LTE / 5G NRTCP/IP, HTTP, DNSXML, JSONGPS / SatCom

AI & Data

Large Language ModelsNumPy / Pandas / MatplotlibComputer VisionSelf-Driving Car algorithms

Tools

VS Code / JupyterBlender (Python API)OSS / BSS platformsEricsson NodeB / RNC / EVO

Education

Academic Background

2026 — present

DLH Academy — Cybersecurity

DLH Academy

  • 12-month intensive training program aligned with the National Cybersecurity Strategy
  • Projects: Defensive and Offensive specialization tracks, final Capstone Project
  • Skills: OS, Scripting, Security Fundamentals, Penetration Testing, Incident Response
2025 — present

School 42 — Common Core

42 Luxembourg

  • Level 11 ⟡ 98% · Selected March 2025 · Started June 2025
  • Projects: Libft, minishell, miniRT, webserv, Inception, ft_transcendence
  • Skills: C, C++, Unix, Networking, Docker, algorithms, concurrent programming, web server implementation, web site development, AI / LLM projects
2022 — 2024

MSc Space Technologies and Business

University of Luxembourg

  • Thesis: LLMs for space software testing
  • Lens Flare Wizard: Python/Blender toolkit for CV training data augmentation
  • Modules: SatCom, Computer Vision, Space Robotics, Space Informatics, Business Economics
A long time ago in a galaxy far, far away...

MSc Electronics & Telecommunications Engineering

Technical University of Cluj-Napoca, Romania

  • Foundation in electronics, radio frequency engineering and telecommunications
  • Basis for 20+ year career in network integration and optimization

Certifications & Courses

Ericsson Certified Associate — Radio Access NetworksSelf-Driving Car Nanodegree (Udacity)Machine Learning Engineer Nanodegree (Udacity)Deep Learning Foundations Nanodegree (Udacity)Machine Learning — Stanford University (Coursera)State Estimation & Localization for Self-Driving Cars (Coursera)LLM Engineering: Master AI, Large Language Models & AgentsAndrej Karpathy — GPT Tokenizer & Reproducing GPT-2Blockchain BasicsMotion Planning for Self-Driving Cars (Coursera)

42 School Luxembourg

Common Core Progress

98%

Level 11 ⟡ 98% · Common Core · Selected March 2025 · Started June 2025

ProjectResult
LibftPass + bonus
get_next_linePass + bonus
Born2berootPass + bonus
ft_printfPass + bonus
pipexPass + bonus
push_swapPass + bonus
FdFPass + bonus
PhilosophersPass + bonus
minishellPass
miniRTPass + bonus
NetPracticePass
CPP Modules 00–09Pass
webservPass + bonus
InceptionPass + bonus
ft_transcendencePass + bonus
42_Collaborative_resumeIn progress

Portfolio

Selected Projects

More projects coming as the portfolio grows.

Completed

Lens Flare Wizard

Python/Blender toolkit for generating synthetic training images with realistic lens flare effects. Developed as part of the Space Master scientific project to improve computer vision model robustness.

PythonBlenderComputer VisionData Augmentation
Published

LLM Testing Framework

Master's thesis research: evaluating the feasibility of using Large Language Models to automate software testing in space systems contexts.

LLMSoftware TestingSpace SoftwareResearch

42 Transcendence - Vox Populi

Full-stack web application built as part of the 42 School curriculum. A lightweight prediction market designed to reduce the distortions introduced by money, while preserving incentives for truth-seeking and high-quality discussion.

TypeScriptWebSocketsDocker42 School

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Open to opportunities in ICT, AI/ML engineering, space technologies, and consulting.