data engineering , Designing and managing data pipelines, Understanding of data security and governance principles in AI environments

workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures

Machine Learning, Prometheus, Grafana, Datadog, Tensorflow, Pytorch, Docker, XGBoost, Python, AWS, Apache Spark, Sql, Azure ML, Git, Gcp, MLops, Azure, Kubernetes, MLflow, CI CD, Kubeflow, Google Vertex AI, Scikit-learn, AWS SageMaker