BigQuery, Router, Gcp, Python, Vite-based frontend, TanStack Query, AG-UI, Langgraph, Claude Anthropic APIs, VertexAI, A2-UI, LLM orchestration, Spanner, Zustand

React, Javascript, Python, HTML, SDLC engineering best practices, Secure development practices, Data pipelines or ETL processes, UX flows and usability principles

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

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

Sklearn, Python, AWS, Sql, Gcp, Containers, Azure, NL2SQL pipelines, embeddings, Pipelines, structured outputs, model registry, chatbots, LangChain, experiment tracking, tool function calling, LLMs, Forecasting, feature pipelines, analytics agents, drift monitoring, RAG, CI/CD, statsmodels, LlamaIndex

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Python, Sql, Prompt engineering, API-based integration, Tool function calling patterns

Java, Cassandra, PostgreSQL, Spring Boot, Sql, Microservices, Rest Api, Nosql, React, Figma, Gcp, Javascript, MySQL, MongoDB, Azure, Python, AWS, Opik, Traces, Lang Graph, Claude, Lang smith, Multi-Agent Systems

Tensorflow, Ml, Sql, Deep Learning, AWS, Pytorch, Python, Nlp, Llm, DL, Langchain, RAG, Knowledge Graphs, Fast API, LangGraph