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MACIEJ FRANCISZEK MATUSZEWSKI

ARTIFICIAL INTELLIGENCE

CYBERSECURITY

CLOUD ARCHITECTURE

CI/CD & AUTOMATION

IT Engineer · Warsaw, Poland

MACIEJ FRANCISZEK MATUSZEWSKI

ARTIFICIAL INTELLIGENCE

CYBERSECURITY

CLOUD ARCHITECTURE

CI/CD & AUTOMATION

About Me_

Maciej Matuszewski – profile photo

Hi, I'm Maciej — an engineer based in Warsaw, Poland, working at the intersection of Artificial Intelligence, Cybersecurity, and Cloud.

My path has been deliberate: I built my foundations in cybersecurity during my B.Sc. at Warsaw University of Technology, learning how systems break and how to defend them. That curiosity about intelligent threats led me naturally toward AI — I'm now pursuing an M.Sc. in Artificial Intelligence at WUT, exploring how machine learning can both power and protect modern systems. My AI projects so far cover LLM explainability (attention analysis of Gemma 3), multi-agent LLM systems with RAG, and computer vision in PyTorch.

Professionally, I work as a Cloud Engineer — designing cloud architectures, orchestrating infrastructure across Kubernetes, AWS, and other platforms, and building CI/CD pipelines that teams actually want to use. I move fast, build things properly, and I'm always looking for harder problems to solve.

I am always open to new interesting opportunities

Interests

AI / MLCybersecurityCloudDevOpsAutomationSystem Design

Projects

Network Traffic Analysis & Threat Detection - Image 1

Network Traffic Analysis & Threat Detection

Comprehensive network security analysis tool that processes PCAP files and live traffic to detect 8+ threat types through hybrid detection combining rule-based Sigma analysis, behavioral anomaly detection, and Random Forest ML classification.

PythonNFStreamerscikit-learnRandom ForestSigma Rules+4
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Private Network Reporter - Image 1

Private Network Reporter

Autonomous LAN security monitoring system built with Go, Nmap, and MikroTik RouterOS. Automatically discovers devices, scans them at configurable depth, and generates scheduled HTML security reports — all running as a single stateless binary inside a minimal Docker container.

GoNmapMikroTik RouterOSSQLiteDocker+4
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THE EYE - Image 1

THE EYE

Distributed intelligence platform transforming optical sensors into defense-grade threat detection nodes for airspace security. Addresses modern unmanned aerial threats with <1s detection latency, 24/7 operation, and $50+ per-device deployment costs.

Backend DevelopmentDistributed SystemsComputer VisionEdge ComputingREST API+2
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Multi-Agent Stock Analysis Platform - Image 1

Multi-Agent Stock Analysis Platform

Streamlit application in which teams of CrewAI agents research a stock from Yahoo Finance, Reddit, Finnhub and Alpha Vantage and write an investment report. Five collaboration modes, RAG over collected evidence in Qdrant, OpenAI / Gemini / local Ollama models and built-in report scoring.

PythonCrewAILiteLLMStreamlitQdrant (RAG)+6
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Prompt Attention Analysis - Image 1

Prompt Attention Analysis

Layer-by-layer analysis of Gemma 3 4B attention for 25 prompt pairs in five modification categories, separating local (sliding-window) and global layers, with entropy / sparsity metrics, heatmaps and Inseq attribution. Reproducible Hydra + uv pipeline with 71 tests.

PythonPyTorchHugging Face TransformersGemma 3Inseq+4
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GCP Big Data Platform (Terraform) - Image 1

GCP Big Data Platform (Terraform)

Terraform stack for a big-data environment on Google Cloud: private VPC, Dataproc cluster with Spark and Jupyter, Airflow on GKE, keyless GitHub Actions CI/CD via Workload Identity Federation, security and cost checks, and a Pandas / Polars / DuckDB / Spark benchmark notebook.

TerraformGoogle CloudDataprocApache SparkAirflow+5
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Skills

Programming Languages

PythonGoJavaBashSQLRMATLAB

DevOps & Cloud

AWSGCPAzureKubernetesDockerGitHub ActionsTerraformGHCRInfrastructure as CodeManaged HostingLinuxNetworkingServerlessCI/CDMonitoring & AlertingSAM

Cybersecurity

Network Traffic AnalysisThreat DetectionMetasploitSIEMVulnerability ScanningPenetration TestingKali LinuxNmapOpenVASCTFsscapy

AI & Machine Learning

PyTorchHugging Face Transformersscikit-learnComputer VisionReinforcement LearningExplainable AI (Inseq)Experiment Tracking (W&B)Hydra

LLMs & Agent Systems

Multi-Agent Systems (CrewAI)RAG (Qdrant)LiteLLMOllama / Local LLMsOpenAI & Gemini APIsLLM Evaluation

Data Engineering

Apache SparkAirflowDataprocPandasPolarsDuckDBParquet

Tools & Other

GitGNS3NFStreamerRouterOSLaTeXTypstAtlassianZabbix

Languages

Polish — nativeEnglish — proficientGerman — elementary

Experience

  1. M.Sc. — Artificial Intelligence

    Warsaw University of Technology

    Feb 2026 – Present

    Warsaw, Poland

    Faculty of Electronics and Information Technology. Postgraduate studies focused on machine learning, deep learning, computer vision and AI systems engineering.

    PyTorchLLMsExplainable AIComputer VisionPython
  2. Cloud Engineer

    BSH Hausgeräte GmbH

    Aug 2025 – Present

    Warsaw, Poland

    Designing and operating cloud infrastructure for a global home-appliance manufacturer — spanning serverless AWS architectures, Kubernetes workloads and a managed hosting platform.

    AWSKubernetesDockerGitHub ActionsPythonTerraformManaged Hosting
  3. DevOps Intern

    BSH Hausgeräte GmbH

    May 2025 – Aug 2025

    Warsaw, Poland

    Joined the cloud team as an intern and quickly took ownership of infrastructure automation and serverless migration tasks.

    AWSDockerGitHub ActionsPythonIaCSAM
  4. ICT Intern

    PGE Dystrybucja S.A.

    Jul 2024 – Oct 2024

    Lublin, Poland

    Gained hands-on exposure to enterprise ICT operations at one of Poland's largest energy distribution companies.

    NetworkingLinuxIT Operations
  5. B.Sc. — Cybersecurity Engineering

    Warsaw University of Technology

    Oct 2022 – Feb 2026

    Warsaw, Poland

    Faculty of Electronics and Information Technology. Covered networking, cryptography, threat analysis, penetration testing and cloud-native security design.

    CybersecurityNetworkingProgrammingLinuxCryptography

Resume / CV

Download my CV

Get a full overview of my experience, skills, education, and certifications in a clean, one-page PDF.

Download CV (PDF)

Contact

Have a project in mind, a question, or a role you think I'd be a great fit for? I'm always happy to hear from interesting people — whether that's engineers, collaborators, or recruiters with something genuinely compelling.

Response within 1–2 business days.

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