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 NoSQL (MongoDB, InfluxDB), SQL, Azure Data Factory, Airflow, GenAI/LLMs (OpenAI, Azure AI Services), Computer Vision, Time Series, FFT, Vibration Analysis, Data Scraping, MLOps/DataOps, IaC (Terraform), CI/CD (GitHub Actions, Azure DevOps), Observability (Prometheus, Grafana, Tracer, Error, Logs), SAP Ecosystem (SAP Analytics, Datasphere), Streamlit, Plotly Dash, PowerBI, HLS, Kubernetes, Docker, Kong, Key Vault, Edge Compute, On-Prem Servers, and 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.
