I'm a Software Architect and DevSecOps Engineer with expertise in designing and deploying secure, scalable infrastructures and AI-driven applications. Currently conducting research at Technical University of Ilmenau on cross-modal image registration and semantic segmentation.
My specializations include backend development with FastAPI, AI/ML integration (LLMs, RAG, WhisperX, Pyannote), and cloud-native deployments using Docker, Terraform, and major cloud providers. I'm passionate about building secure, observable systems aligned with GDPR, ISO/IEC 27001, and EU AI Act standards.
View ResumeEngineering cross-modal image registration pipelines for high-dimensional sensor data (RGB, MWIR, 5D) using Fourier-based phase correlation and SIFT/ORB descriptors. Optimizing CNNs for real-time semantic segmentation and automating data preprocessing workflows for multi-terabyte industrial datasets.
Architected multi-cloud infrastructure on Hetzner and GCP using Terraform. Developed FastAPI backend with Celery task queues, JWT auth, and GDPR-compliant data flows. Implemented RAG pipelines with Qdrant vector search and open-source LLMs for real-time contract interpretation with Prometheus, Grafana, and Loki observability stacks.
Designed and deployed enterprise portal with ADFS/Exchange SSO integration. Implemented secure authentication with Active Directory and on-premises services. Managed infrastructure spanning Debian servers, Windows AD, and Exchange Server integration for seamless unified access management.
Implemented hybrid deep learning architecture combining CNNs and Multi-Layer Perceptrons (MLPs) for energy theft detection. Engineered preprocessing pipelines converting time-series data into daily and weekly representations for improved model generalization and accuracy.