👋 Hi there! I'm an MLOps Engineer with a passion for building scalable and efficient machine learning pipelines. 🚀
🔧 What I Do
I specialize in creating robust MLOps frameworks, from training pipelines to deployment on Kubernetes. My experience spans across cloud technologies, neural networks, NLP, and computer vision. I thrive on transforming complex technical requirements into streamlined solutions that deliver real business value.
💼 Where I've Worked
Expert MLOps Engineer at Hugo Boss: Leading the charge in infrastructure provisioning with Terraform, managing end-to-end MLOps pipelines on Azure Databricks, and deploying large-scale models on Kubernetes.
Senior Consultant at Data Reply GmbH: Implemented end-to-end ML solutions, from fine-tuning LLMs to deploying models on OpenShift and integrating them as backends for web applications.
🛠️ Skills & Tools
Languages: Python, Julia, Matlab
Cloud: Azure, AWS, GCP
DevOps: Kubernetes, Terraform, Terragrunt, Azure DevOps, ArgoCD
ML Tools: MLFlow, Vertex AI, Airflow, OpenShift
Visualization: Grafana, Superset, Tableau
📚 Certifications
Microsoft Certified: Azure Data Science Associate
Certified Kubernetes Administrator & Application Developer
AWS Solutions Architect
TensorFlow Developer
🎓 Education
M.Sc. in Applied Mathematics, University of Hamburg & University of L’Aquila
B.Tech in Automotive Design Engineering, University of Petroleum and Energy Studies
🌟 Let's Connect!
I'm always eager to collaborate on exciting projects and share knowledge in the ML and DevOps community. Feel free to reach out! 🚀
