Marcin Retajczyk

AI systems / cloud architecture

DOC MR-AI-001 REV 07.2026 STATUS ACTIVE LOC PL / EU
System profile / Engineering record / 2026

AI systems.
Cloud architecture.

Computer science background. Cloud and software engineering experience at IBM and Intel. AI architecture, proof-of-concept delivery and customer engineering at Oracle.

02 / Capability topology

Engineering background → AI system delivery.

An organic network of skills, architecture decisions and production AI data flow.

Profile map / interactive
Experience and technologies feed the main engineering capabilities Drag · zoom · select a node · swipe on mobile
Portfolio graph

Select a node.

Each node contains a factual description. Selecting it highlights related education, experience, capabilities and output.

34 nodes
52 relationships
Built with Cytoscape.js · interactive dependency model Career / knowledge / architecture / impact
Oracle

Account Cloud Engineer / OCI · AI

Oracle Corporation

Jul 2024 — Present

I design cloud and AI architectures for public-sector and enterprise customers. I lead discovery sessions, advise on infrastructure and service consumption, and build proof-of-concept solutions with Python, OCI Generative AI, Enterprise AI, and AI Vector Search. I develop RAG platforms, chatbots, n8n automations, and multi-step agentic workflows using Oracle AI Private Agent Factory and OCI Generative AI Agents. I also represent Oracle at AI Summit Poland, the British Embassy in Warsaw, and meetings with Polish military-sector organizations.

OCI Generative AIRAGAI Vector Search Pythonn8nAI Agents Public sectorArchitecture
Intel

Cloud Engineer / Software Engineer

Intel

Jun 2022 — Jul 2024

At Intel, I developed and integrated a multi-workload benchmarking platform. I later contributed to Intel Developer Cloud. I used Python, Java, Go, and Groovy for development, and Ansible, Jenkins, Docker, and AWS for automation and cloud delivery. My work included complexity analysis, API performance improvements, query and resource optimization, service integration, and platform reliability.

PythonJavaGoGroovy AnsibleJenkinsDockerAWS API performanceIntel Developer Cloud
IBM

Cloud Area Intern

IBM Poland · Student Career Experience

Sep 2021 — Dec 2021 · 4 mo

At IBM Poland, I worked in an agile student team on introductory cloud and infrastructure tasks. I completed training in Google Cloud Platform and cloud fundamentals. Practical work included basic virtual-machine deployment, virtual cloud networking, and team-based delivery.

Cloud fundamentalsGoogle Cloud Virtual machinesVCNAgile
AGH University of Krakow

Engineer’s degree · Computer Science and Intelligent Systems

AGH University of Krakow

2024 Final grade · 5.0 / 5.0
Warsaw University of Technology

Master’s degree · Computer Science

Warsaw University of Technology

2026 Final grade · 5.0 / 5.0 Rector’s Scholarship · 2024
Hackathon · Winner

AskRexie · Oracle MadHacks Regional Winner

February 2026 · Four-person international team, primarily based in the United Arab Emirates. AI-powered platform mapping RxCUI medical codes used in the United States to ATC codes used internationally, with recommendations for local equivalents of foreign medication.

Research · IEEE

Neural Network for Musical Data Mining for Phrase Boundary Detection

Co-author · IEEE Symposium Series on Computational Intelligence · Mexico City · 2023

IEEE Xplore ↗
Certification

Oracle Cloud Infrastructure 2025 Certified Architect Professional

Advanced OCI architecture across networking, security, resilience, data and operations.

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Certification

Oracle Cloud Infrastructure 2025 Certified Data Science Professional

Data science workflows, machine learning, model development and deployment on OCI.

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Certification

Oracle AI Vector Search Certified Professional

Vector indexing, similarity search and AI retrieval workloads with Oracle Database.

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Certification

Oracle Cloud Infrastructure 2024 Generative AI Certified Professional

Generative AI services, large language models and enterprise AI implementation on OCI.

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BUILD / 01 in progress
System case study / in preparation.
> mapping boundaries, data flow, retrieval and operational constraints

System design for AI applications: ingestion, classification, retrieval, orchestration, private access, structured outputs, auditability, operations, and human review.

Privacy & analytics

Necessary server logs

The web server records IP address, request time, requested path, response status, referrer and user agent for service security and diagnostics. Logs are retained for a limited period.

Portfolio analytics

First-party analytics runs automatically and records:

It does not use eye tracking, activate the camera, record keystrokes, or capture screen contents. Data is stored on the website server for up to 30 days and is visible only in a protected administrative dashboard. IP geolocation is approximate. Location data is provided by DB-IP.

Control and contact

Global Privacy Control and Do Not Track browser signals disable behavioral analytics automatically. Privacy enquiries: marcinretajczyk@gmail.com.