I am a cloud developer with experience in designing, developing, auditing and maintaining software in cloud native environments. Easygoing and collaborative, I thrive in teams but am equally comfortable working independently. Professionalism, innovation, and quality are my core values. I like to push boundaries and deliver impactful solutions.
- 🛠️ Designed and implemented features for data analyst software and infrastructure, accelerating development and elevating developer experience
- 🔄 Refactored and rewrote 2-3 codebases following SOLID principles and modern software guidelines
- 🤖 Pioneered LLMs and generative AI internally, contributing to innovation programs
- 🤝 Collaborated with multiple teams and clients to create 2 new products and 3 new features, securing a huge budget (200.000 €) for our department in BOSCH
Apexlabs Ltd. (2025 Q4 - Present) Cloud Engineer Contractor & Consultant
Currently I am working as a Cloud Migration contractor, making MAP Assessments for companies around the world and implementing migrations and AI POC-s. Migrations are from any source to AWS.
Projects until now:
- Julius AI: AWS MAP and FTR Assessments, Evaulated an existing GCP infrastructure, created a migration plan with new AWS Architecture.
Robert Bosch Kft. (2022 Q4 – 2025 Q4) Cloud Developer & Business Application Developer
Worked on Metron the KPI Framework, a data aggregation system (like DevLake) for version control, ticket, and pipeline data. Delivered reports, dashboards, and calculations for developers, managers, and executives.
Notable Contributions:
- 🧑💻 Refactored Go/Python codebases for maintainability, efficiency, and cloud-native concurrency
- 💬 Built RAG chat for docs, pitched to execs via innovation program
- ⚙️ Developed/maintained CI/CD (Azure, Jenkins, GitHub); built custom tasks/actions
- 📊 Designed GenAI log analytics platform (infra + app)
- 🔒 Developed async processing for secure on-prem cluster
- 📈 Delivered E2E KPIs: ingestion, processing, dashboards, client collaboration
- 🏗️ Redesigned monolith data pipeline to scalable microservices (Argo Workflows)
- ☁️ Migrated applications, infra, and deployments between cloud environments
- 🎓 Eötvös Loránd University – BSc in Computer Science
- 🌍 Universitat Politècnica de València (UPV) – Erasmus Exchange, BSc in Computer Science
Technical: System Architecture (Intermediate), DevOps, Clean Coding, Scaling, GPU Cloud Functions, Generative AI, KPI Definition, POC Creation
Techniques: Solution Planning, Configuration, TDD, Automated Testing, Debugging, Cloud Native, Containerisation, Optimization, 8D Problem Solving, Feature Planning, Product Engineering
Tools & Software: Go, Python, Terraform, Kubernetes, Modal, Oracle Cloud, Azure, OpenAI, DrawIO, Cloudflare, Docupedia, Git, HTML, CSS, Svelte, Node, JavaScript, Prometheus, OpenTelemetry, MongoDB, CosmosDB, Redis, ServiceBus, Bitbucket, Github, AzureDevOps, Jenkins, AzurePipelines, Github Actions
Other: Product Lifecycle Management, Proficient English, Kanban, SCRUM, Agile, Quality Control, Proof of Concept, Knowledge Transfer, Lead Time Calculation, ROI Calculation, Transparency



