Typescript, Node.js, Python, DevOps practices

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

Apis, Cloud Infrastructure, Python, AWS, LLMs, enterprise software platforms

react.js , HTML, Javascript, Docker, Flask, Python, AWS, Apis, CSS, Sql, Django, Gcp, FastAPI, Rest Apis, Azure, Claude, Pinecone, Retrieval-Augmented Generation, LangGraph, ChromaDB, LangChain, CrewAI, AutoGen, FAISS, Llama, OpenAI, Gemini, Weaviate, LlamaIndex

Natural Language Processing (NLP), GCP), Cloud platforms (AWS, Large Language Models (LLMs), Sklearn, Azure, FastAPI, Python, LangChain, CrewAI, Generative AI, Hugging Face Transformers, Plotly, Vapi, TRL, Salesforce AgentForce, Google Agent SDK, OpenAI Agent SDK, Microsoft Copilot, Dialogflow, Agent development platforms and SDKs

Gcp, Databricks, Azure, Python, AWS, embeddings, LLaMA, A2A Agent-to-Agent, Crew.ai, model orchestration, Claude, prompt engineering, AutoGen, LangGraph, custom agent evaluation frameworks, MCP Model Context Protocol, Mistral, OpenAI, Gemini, LlamaIndex, synthetic datasets

software engineering practices , MLops, Apis, System Design, Cloud deployment, Python, data model pipelines, performance optimization, ML systems, AI applications

Apis, Containers, Python, Microservices, LangChain, AutoGen, LangGraph, Generative AI, cloud-native deployments

Apis, Python, AWS, LangChain, Data privacy and governance, LLMs, Vector databases, Serverless architectures, Machine learning models, Amazon SageMaker, Data ingestion, Logging and observability, CI CD pipelines, MLOps tools, Amazon Bedrock, Generative AI models, Model performance tracking

Large Language Models (LLMs, Retrieval-Augmented Generation (RAG, Containerization (Docker, Distributed Systems, Python, Apis, GenAI, Cloud-native application development, CI/CD, Agentic AI, Prompt engineering, Data pipelines