Computer Engineer with a strong work ethic and a growth mindset.
I value adaptability, collaboration, and tackling challenges that push me to improve.
Scientific software project developed in collaboration with HFLAV (Heavy Flavor Averaging Group), an international collaboration associated with CERN.
This project provides a FAIR-compliant Python client that acts as a bridge between scientific data repositories and end users, with Zenodo as the primary backend. It automates dataset discovery, download, and validation, reducing manual data handling while improving reproducibility, traceability, and reuse of official HFLAV results.
Key features:
- FAIR-compliant data access workflows
- Automated discovery and retrieval of datasets
- JSON Schema–based data and metadata validation
- High-level Python API for scientific analysis
- Extensible, backend-agnostic architecture
- Support for reproducible and open science
🔗 Repository: https://gitlab.cern.ch/hflav/shared/hflav-fair-client
