I will be your mlops and llmops engineer to deploy ai models into production

Are you looking to scale your machine learning models from a local environment into a reliable, production-ready system? A messy code notebook is not a product! I will help you automate, optimize, and safely deploy your AI and Data Science models into secure cloud environments.

I specialize in building end-to-end MLOps and LLMOps pipelines that slash your API costs, improve system uptime, and automate version control.

Services I Offer:

• API Development: Turning models into scalable web services using FastAPI, Flask, or vLLM.
• Containerization & Orchestration: Comprehensive Docker setup and Kubernetes scaling.
• CI/CD Pipelines: Automated model retraining and deployment via GitHub Actions or GitLab CI.
• Cloud Architecture: Setup and configuration on AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• LLMOps Solutions: Setting up vector databases (Pinecone, ChromaDB), semantic search, and RAG pipelines.
• Monitoring & Alerts: Full dashboard implementation using Prometheus and Grafana for system health tracing. [1, 2, 3, 4, 5]

The Stack I Use:

Python, Docker, Kubernetes, AWS, GCP, Azure, FastAPI, MLflow, Hugging Face, LangChain, Pinecone.

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