I am an engineer working where infrastructure meets machine learning. Most recently I was the Cloud and Data Engineer at Lithmic GmbH in Munich, the only cloud engineer on a platform covering more than 150 solar and battery sites. I wrote the Infrastructure as Code that made deployments repeatable, built the Python and Go pipelines behind eight analytical algorithms, and worked with battery specialists on the Lithmic Computation Unit.
Before Munich I was a Cloud Engineer at BTS Group in Istanbul, building Olympos, a self-managed cloud and network automation platform on Kubernetes, Terraform, and GitOps. That job taught me most of what I know about running infrastructure other people depend on.
I am now reading AI in Society at TUM, a master’s that puts computer science next to regulation and social science. That combination turned into Lexelligence, where the question is not whether a model can read a regulation but whether its answer can be audited afterwards.
My bachelor thesis built a digital twin forecasting Istanbul metro usage from smart card data. It was presented at COPERMAN 2025 and is forthcoming from Springer Nature.
Stack
Languages
- Python
- Go
- SQL
- TypeScript
- R
- Bash
Cloud & infrastructure
- AWS
- Terraform
- Kubernetes
- Docker
- GitLab CI/CD
- Azure
Data & ML
- PyTorch
- TensorFlow
- scikit-learn
- pandas
- NumPy
- MLOps
AI systems
- LLM routing
- Agentic workflows
- RAG
- NLP
- Evaluation
Storage
- PostgreSQL
- Redis
- MongoDB
- SQLite
Systems
- Linux
- RHEL
- Networking
- KVM/QEMU
- VMware
Certifications
Turkish (native) · English (C1, IELTS 7.0) · German (A2)