I will build and deploy production ready ml and llm systems

Are you struggling to take your machine learning or LLM application from a notebook or prototype into a reliable production system?

I can help you deploy and productionize your ML, MLOps, LLM, and RAG applications across AWS, GCP, or Azure.

I specialize in turning working AI prototypes into production-ready systems with proper deployment, APIs, containerization, automation, monitoring, and scalable infrastructure.

My approach

I focus on more than simply "getting your model online."

I help structure the system for production by considering:

• Reliability
• Scalability
• Monitoring
• Maintainability
• Deployment automation
• Inference performance
• Resource utilization
• Latency
• Infrastructure cost

What you receive

Depending on your project and package, you can receive:

• Production-ready deployment
• Working API endpoints
• Docker configuration
• Cloud infrastructure
• CI/CD automation
• MLflow setup
• Monitoring and logging
• Model/LLM serving
• RAG infrastructure
• Technical documentation
• Deployment instructions

Whether you have an existing trained ML model, an LLM application, a RAG prototype, or an  an existing MLOps pipeline that needs improvement, I can help take it toward production.