I will write a production ready dockerfile

Stop fighting dependency hell and "it works on my machine" errors.

If you are building AI applications, your dependencies are likely a nightmare. PyTorch, CUDA drivers, and HuggingFace models create bloated, fragile environments that crash the moment they hit a production server.

I build infrastructure that doesn't break. With a background in high-volume manufacturing QA and experience architecting air-gapped, zero-trust AI environments, I specialize in containerizing messy Python and ML codebases into secure, lightweight, and production-ready Docker images.

Whether you need a simple multi-stage build for a FastAPI backend or a complex GPU-enabled Docker Compose network wired to Redis and a Vector DB, I will build it correctly the first time.

What I Deliver:

• Standard Python Apps: Optimized, multi-stage Dockerfile for FastAPI, Flask, or backend scripts.

• AI/ML Environments: GPU-accelerated containers with proper CUDA/PyTorch configurations, preventing massive image bloat.

• Multi-Container Architecture: docker-compose.yml setups linking your app to PostgreSQL, Redis, Qdrant, or Celery.

• Security: Non-root execution.

Please message me before ordering to discuss your repo!