Continuous Delivery, large-scale backend software platforms, AI ML or Data, strategic roadmap for products and platforms, agile software development methodologies, distributed development teams

snowflake , Machine Learning, Tensorflow, Pytorch, Python, Generative AI, Scikit-learn, Claude, AntiGravity Cursor, VS Code, Context Engineering, Llm, Agentic AI, RAG, Azure AI, Open AI Codex

MLops, Neo4j, AI ML, MongoDB, eval-driven development, embedding, AI observability, RAG architecture, document pipelines, LLMOps, Cloud cost optimisation, re-ranking, DORA metrics, LangChain, AWS Bedrock, data-driven model evaluation, responsible AI controls, LangGraph, production-grade reliability, chunking, engineering standards, vector databases, SageMaker, managed inference infrastructure, similarity thresholds, prompt tracing, output evaluation, hallucination detection, prompt discipline, AWS Neptune

Pytorch, Tensorflow, Azure ML, Deep Learning, MLops, Machine Learning, AWS SageMaker, Google AI, computer science fundamentals, LLM fine-tuning, training methodologies, Scikit-learn