production deployment , Personalization, Nlp, Gcp, Azure, Python, AWS, feature stores, Generative AI, LLMs, model training, behavioural and event-streaming datasets, search systems, vector databases, a/b testing, embedding-based retrieval systems, video understanding models, MLOps tooling, feature engineering, ML experimentation frameworks

Machine Learning, Neural Networks, Dynamo Db, Apis, Python Programming, AWS Bedrock, Embedding generation, Similarity search, Llm, Agentic AI, Claude LLMs, Document ingestion, prompt tuning, multi-step reasoning, AgentCore, Human-in-the-loop mechanisms, Simple Autonomous agents, vector databases, Guardrails, logging and observability, prompt engineering, tool-calling agent orchestration, workflow automation, output evaluation