I am a Data & AI Engineer and Tech Founder specializing in high-impact Data & AI Platforms and systems architecture. My work focuses on driving digital transformation across multi-cloud environments (AWS, Azure, GCP). I am also actively researching Quantum Machine Learning (QML) at the Master's level.
My expertise spans the entire product lifecycle, from R&D and foundational architecture to robust MLOps/DevOps implementation:
- Principal Focus: Architecting and implementing scalable Big Data, AI, and Cloud Platforms.
- Innovation: Advanced research in QML and practical application of Generative AI (GenAI) & LLMs.
- Leadership: Technical and strategic leadership, establishing Data Areas from scratch and founding tech Startups.
- Engineering & Ops: Deep proficiency in Software Engineering (Go, Python, TypeScript) and implementing robust DevOps, DataOps, and MLOps practices.
- Current Research: Quantum Machine Learning (QML) and Quantum Computing.
I operate across multi-cloud infrastructure and a specialized stack designed for performance and scale.
I also work with:
- Research & Advanced Topics: Quantum Machine Learning (QML), Quantum Computing, GenAI/LLMs, HPC, Atmospheric Models (WRF, Geoschem).
- Data Systems: Databricks, Spark, Data Factory, Airflow, Streaming (Kafka), SQL/NoSQL (PostgreSQL, MongoDB), SAP Ecosystem.
- Cloud Native & DevOps: IaC (Terraform), CI/CD (GitHub Actions, Azure DevOps), Observability (Prometheus, Grafana), Kubernetes, Kong, Key Vault, Edge Compute.
- Development & Visualization: React/Angular, TypeScript, Golang, Plotly Dash, PowerBI, Streamlit.
I consistently lead the development of critical Big Data and AI platforms, driving business value, and actively contribute to R&D&I projects focused on pioneering solutions, multi-cloud platforms, and advanced research.
