Kafka, Pytorch, Python, AWS, concurrency, Sql, Spark, RAG embeddings, quantisation, model versioning, Hugging Face, vector databases, Flink, CI CD, NoSQL systems, GPU inference, rollback, experiment tracking, supervised ML fundamentals, batching, ML data backend, tail latency, cost optimisation, transformer fine-tuning, agentic workflows, deployment monitoring, applied AI engineering, function calling