This repository is a research and portfolio project for reproducible AI workload benchmarking. Security review focuses on repository hygiene, credential handling, Docker usage, and safe publication practices.

• Cloud provider credentials.
• Hugging Face tokens.
• .env files.
• SSH keys or certificates.
• Downloaded model weights.
• Dataset archives.
• Local machine paths or private metadata.

If you find a security issue, open a private report through GitHub Security Advisories after the repository is published, or contact the repository owner directly.

Please include:

• affected file or command;
• potential impact;
• reproduction steps if applicable;
• recommended fix if known.

Dockerfiles in this repository are intended for benchmark reproducibility, not hardened production deployment. Review base images, dependency versions, and runtime privileges before using them outside the benchmark context.