Author
Aizhan Azhybaeva
ML Architecture Engineer at mlai.qa
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
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