Microservices, Docker, Python, AWS, Apis, Node.js, Gcp, Distributed Systems, Azure, Kubernetes, Prompt engineering, Event-driven systems, Go, Embeddings, Function calling, Tool calling, LLM evaluation, Generative AI, LLMs, Vector databases, Applied AI, Agent frameworks, Asynchronous execution, RAG

Java, Aws Services, Json, Git, Gcp, Docker, Gitlab, Rest Apis, Azure, Kubernetes, Python, AWS, Go, async frameworks, REST API design, GRPC, GenAI LLM systems

React, Python, HTML, data pipelines or ETL processes, SDLC engineering best practices, secure development practices, AI-assisted development tools, modern JavaScript, databases and data modelling

Data Management, Cuda, Gcp, Azure, Kubernetes, Python, AWS, common ML frameworks, Scientific Python Stack, CI CD

Ml, Apis, Data Architecture, Gcp, Azure, Python, AWS, LLM integration, Ai, prompt engineering, performance optimisation, model evaluation, scalable backend systems

Pytorch, Python, inference cost performance and optimisation techniques, evaluation and benchmarking of ML systems, Large Language Models, Hugging Face, Experimental Design

Data Modelling, Sql, ELT, Spark, Databricks, Python, Etl, Claude Code, containerisation, CI CD, GitHub Copilot, warehousing concepts, AI coding tools, cloud-native data services