# Borys Gorobeyko — IT Cloud Engineer

> Cloud and DevOps engineer focused on secure, automated infrastructure, Kubernetes, AWS, GitOps, and AI-powered solutions.

- Canonical profile: https://gorobeyko.com/en/ (German: https://gorobeyko.com/de/)
- Location: Coburg, Germany
- Email: bgorobejko@gmail.com
- Focus: Kubernetes, GitOps, AWS, Terraform, CI/CD, Python
- Facts last updated: 2026-08-28

## Summary

I am a Cloud and DevOps engineer with a computer science background. I design, automate, and operate infrastructure for financial institutions, including banks and brokerages. My work spans AWS, Kubernetes, GitOps, Infrastructure as Code, CI/CD, workload automation, and Linux operations. I also apply AI and data engineering where they create practical operational value.

## Current position

IT Cloud Engineer, cloudopserve GmbH (11/2025 – present)

I design, automate, and operate secure infrastructure for banks and brokerages—using cloud, Kubernetes, GitOps, and reliable automation to keep business-critical systems running.

## Experience

### IT Cloud Engineer — cloudopserve GmbH, Coburg, Germany (11/2025 – present)

Designing, automating, and operating infrastructure for financial institutions, including banks and brokerages.

- Manage and improve secure, reliable infrastructure across AWS, Kubernetes, and Linux environments.
- Automate provisioning and deployments with Terraform, Flux-based GitOps, and CI/CD pipelines.
- Operate and monitor business-critical workloads, troubleshoot incidents, and automate recurring workflows with JS7 JobScheduler and n8n.

### Working Student, IT Service Management — Noris Network AG, Nuremberg, Germany (11/2024 – 10/2025)

Development of AI-powered solutions for IT service management.

- Developed a GDPR-compliant pseudonymization pipeline for ServiceNow CSV exports with deterministic seed initialization and parallelization (multiprocessing), while ensuring cross-table referential integrity.
- Developed an LLM evaluator with a Composite Quality Index (CQI) and NLI checks for benchmarking Now Assist responses.
- Designed prompts, guardrails, and monitoring for Now Assist (GenAI) in ITSM.

### Software Developer Intern — Antonov Logistics SALIS GmbH, Leipzig, Germany (09/2022 – 02/2023)

Development of internal authentication systems.

- Standardized internal authentication by replacing third-party tools with a custom LDAP client in C#.
- Provided a REST/CLI interface for service integrations.

## Projects

### ServiceNow Data Anonymization Tool (Noris Network)

Provided GDPR-compliant test data, measured by error-free ServiceNow imports with preserved referential integrity, through a modular Python anonymizer with deterministic seeding and multiprocess pipelines.

- Full PII coverage, measurable through precise masking of names, emails, phone numbers, addresses, and companies, including in free text, by combining regex and NLP.
- Ensured reproducibility, measured by consistent repeat runs and validations, through seed-based anonymization and robust export workflows.
- Result: Enabled GDPR-compliant test data generation for development and test environments while preserving referential integrity and data structure.
- Technologies: Python, pandas, NLP, Multithreading, CSV, ServiceNow
- Source: https://github.com/efedleikudl/sn_anonymizer

### Now Assist Evaluator (Noris Network)

Standardized AI response quality, measured through a confidence-based Composite Quality Index, by building a four-stage evaluator across semantic, pragmatic, lexical, and structural levels.

- Increased analysis capability, measurable through CSV exports per stage and an overall score, with stable export modules.
- Scaled throughput, measured by efficient NLI processing and improved GPU utilization, by integrating Transformers with batching and lazy loading.
- Result: Accelerated enterprise-specific AI integration, measurable through shorter integration cycles and less rework, using task-weighted scores, prompts, and guardrails for Now Assist in ITSM.
- Technologies: Requirements Analysis, Python, NowAssist, NLI, LLM, Hugging Face
- Source: https://github.com/efedleikudl/nowassist_evaluator

### Sparrow LDAP Client (Antonov Logistics)

Standardized internal authentication, measured by the complete replacement of third-party tools, through a standalone LDAP client in C# with Bind/Search/Add/Modify/Delete and a desktop GUI.

- Reduced onboarding effort, measurable through faster bulk updates, with LDIF/CSV import and export plus a visual GUI.
- Automated provisioning, measured by stable service integrations, through REST and CLI interfaces.
- Result: Standardized LDAP access across teams and eliminated the dependency on third-party tools.
- Technologies: C#, .NET, LDAP, REST API, CLI, Linux

## Skills

- Python: Data pipelines with pandas, CLI tools, asynchronous jobs, ML/NLP workflows with Hugging Face Transformers and PyTorch, and NumPy.
- Software Modeling and Architecture: UML, sequence and ER diagrams, architecture styles, API design, modular services, prototyping, requirements analysis, and decomposition.
- SQL: Schema design, multi-table joins, window functions, indexing, and query plan basics with PostgreSQL and MySQL.
- DevOps: Secure Linux operations, GitHub and GitLab, CI/CD pipeline design and maintenance, Docker, monitoring, incident response, release and deployment processes, and scripting.
- Amazon Web Services: Provisioning and operating AWS infrastructure with a focus on IAM, networking, compute and storage, monitoring, and secure, repeatable deployments.
- Terraform: Infrastructure as Code with reusable modules, remote state, plan/apply workflows, reviews, and reproducible environments.
- Kubernetes & Flux GitOps: Container orchestration, deployments, services, ingress, configuration and secret management, Helm, and GitOps deployments and reconciliation with Flux.
- Automation with JS7 & n8n: Scheduling, orchestrating, and monitoring jobs and workflows with JS7 JobScheduler, plus event-driven integrations and process automation with n8n.
- Go (Golang): Building reliable CLI tools, automation services, APIs, and concurrent workloads with goroutines, channels, testing, and Go modules.
- LLM Fine-Tuning: Dataset curation and cleaning, instruction tuning with Hugging Face Transformers and PEFT/LoRA/QLoRA, prompt templates and tokenization, and training/validation pipelines.
- React (+ TypeScript): Vite apps, component design, Tailwind CSS/shadcn/ui, responsive layouts, and API integration.

## Education

- B. Sc. Computer Science, Coburg University of Applied Sciences, Coburg (2020 – 2025)
  - Thesis: Bachelor thesis: Privacy-compliant ITSM process support through generative and agent-based AI on the ServiceNow platform.
- Technical University Entrance Qualification, Studienkolleg Coburg, Coburg (2019 – 2020)

## Certifications

- Linux Foundation Certified IT Associate (LFCA) — The Linux Foundation, issued 2026-01-24 (credential ID LF-6645sqsb20): https://gorobeyko.com/certificates/linux-foundation-certified-it-associate-lfca.pdf

## References

- Recommendation letter – software development internship — Antonov Logistics SALIS GmbH, Software Developer Intern (09/2022 – 02/2023), issued March 27, 2023: https://gorobeyko.com/recommendation_letters/Zeugnis-Antonov.pdf

## Publications

- Lurin, I., Gorobeiko, M., Sokol, Y., Usenko, O., Khoroshun, E., Makarov, V., Nehoduiko, V., Gumeniuk, K., Gorobeyko, B., & Dinets, A. (2024). A review of the artificial intelligence application as a guideline tool for the wound management.
  EMERGENCY MEDICINE, 20(5), 417–422. https://doi.org/10.22141/2224-0586.20.5.2024.1742
- Lurin I, Gorobeiko M, Lovin A, Gorobeyko B, Lovina N, Dinets A (2024). APPLICATION OF ARTIFICIAL INTELLIGENCE IN CIVIL AND MILITARY MEDICINE.
  Georgian Med News. 2024 Mar;(348):94-98. PMID 38807400

## Conference presentations

- GI VR/AR Workshop — Presentation, TU Chemnitz, Chemnitz (09/2025)
  Roman Kobets, Borys Gorobeyko and Jens Grubert: "Gazing into the Past: An Immersive Gallery of Historical Images via Camera-Guided Video Diffusion and Gaussian Splats"
- Zech Sicherheitstechnik – Innovation Day — Participant, Leipzig (2023)

## Languages

- German: C1
- English: C1
- Ukrainian: Native
- Russian: Native

## Links

- GitHub: https://github.com/efedleikudl
- ORCID: https://orcid.org/0009-0006-6531-8767
- LinkedIn: https://linkedin.com/in/borys-gorobeyko-b24ab7279