MLOps & LLMOps

Run ML models and LLM apps reliably in production — pipelines, evaluation, monitoring and governance. Serving clients in the USA, Canada, Singapore, UAE &…

Move models from notebooks to dependable production services — reproducible training, model registry, CI/CD for models, feature stores, drift monitoring and automated retraining. For LLM apps we add evaluation suites, guardrails, cost and latency monitoring and AI governance.

Technologies: MLflow, Kubeflow, SageMaker, Vertex AI, Evidently, Feast, Langfuse, LiteLLM, OpenTelemetry, Promptfoo.

• AI evaluation, red-teaming and guardrails
• Experiment tracking and model registry
• CI/CD pipelines for models
• Feature stores
• Batch and real-time model serving
• Drift, data-quality and performance monitoring
• Automated retraining
• Prompt and model version control
• Offline and online evaluation suites

• Data, ML & MLOps
• Case Studies
• Contact