Aizhan Azhybaeva

Aizhan Azhybaeva is an ML architecture engineer at mlai.qa - the specialist ML Architecture and Strategy practice for Series A-C AI startups scaling from prototype to production.

Focus

Aizhan publishes architecture-level guidance on:

• ML platform design - end-to-end architecture from data to model serving
• MLOps foundations - Kubeflow, Ray, MLflow, feature stores, model registries
• Data pipeline architecture - streaming and batch ingestion, feature engineering, training-serving consistency
• Model serving infrastructure - vLLM, Ray Serve, Triton, KServe, model routing patterns
• RAG vs fine-tuning decisions with measured trade-offs for specific use cases
• Build vs buy ML infrastructure - when to use managed services (OpenAI API, Bedrock, Vertex AI) vs self-hosted
• AI stack evaluation - framework comparisons, deployment topology recommendations

Pair engagements with aiml.qa: architect with mlai.qa, validate with aiml.qa. The NomadX AI lifecycle: Design -> Validate -> Stress-Test -> Grow.

Topics Covered

• ML Architecture
• MLOps Foundations
• Data Pipeline Architecture
• Feature Store Design
• Model Serving Infrastructure
• vLLM
• Kubeflow
• Ray Serve
• RAG Architecture
• Fine-Tuning Strategy
• Model Selection Methodology
• ML Platform Engineering
• Build vs Buy ML
• AI Stack Evaluation

Profiles & Links

• https://www.linkedin.com/company/nomadx-ae
• https://github.com/nomadx-ae