I'm a Principal Data Scientist with extensive experience spanning Software Engineering, Big Data, Artificial Intelligence, and Cloud Platforms. I lead high-impact technical initiatives and build innovative data-driven solutions. I am an MSc student in Data Science and hold a Bachelor's degree in Computer Science.

My journey includes:

• Technical and strategic leadership in Data Science and Engineering teams.
• Architecture and implementation of scalable Big Data, AI, and Cloud Platforms.
• Founding Data Areas from scratch and driving Digital Transformation.
• Founding and acting as CTO in Tech Startups.
• Development of innovative solutions, with a focus on Generative Artificial Intelligence (GenAI) and LLMs.
• Implementation of robust DevOps, DataOps, and MLOps practices.
• Consulting and technical guidance in complex R&D&I projects.

I have experience with a wide range of technologies across the data, software, and cloud universe:

I also work with:

• Databases: NoSQL (MongoDB, InfluxDB), SQL, PostgreSQL.
• Data Engineering: Azure Data Factory, Airflow, Data Pipelines, Data Ingestion/Integration, Streaming Technologies, Kafka.
• Specific AI/ML: GenAI/LLMs (OpenAI, Azure AI Services), Computer Vision, Time Series, FFT, Vibration Analysis, Data Scraping, MLOps/DataOps, MLOps Concepts.
• Infrastructure/DevOps: IaC (Terraform), CI/CD (GitHub Actions, Azure DevOps), Observability (Prometheus, Grafana, Tracer, Error, Logs), Kubernetes, Docker, Kong, Key Vault, Edge Compute, On-Prem Servers.
• SAP Ecosystem: SAP Analytics, Datasphere.
• Visualization: Streamlit, Plotly Dash, PowerBI.
• Other: HLS, Atmospheric Models (WRF, Geoschem).

I led the development of critical Big Data and AI platforms, founded data areas, and actively contribute to R&D&I projects focused on applying cutting-edge technology to solve complex problems and generate business value, including pioneering solutions with GenAI and multi-cloud platforms.