Java, Version Control Systems, Debugging, Python, secure coding practices, performance optimization, Validation

Cursor, Docker, Flask, Python, AWS, Sql, Code, Git, Gcp, FastAPI, Rest Apis, Azure, embeddings, Claude, RAG prompting, LangSmith, LangGraph, LLM evaluation benchmarking, MCP agent-to-agent orchestration, Langfuse, LangChain, CrewAI, tool function calling, LLM GenAI projects, vector stores, GitHub Copilot, MCP Model Context Protocol, Google ADK, LlamaIndex

Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Aws Lambda, Python Programming, Devops, MLops, Docker, Kubernetes, LangChain, LangGraph, Generative AI, AI model deployment and monitoring on AWS, Amazon Bedrock, Amazon SageMaker, Prompt Engineering, LLMOps, CI/CD Pipelines, Microservices architecture, Agentic AI, Multi-Agent Systems, API integrations, AI Orchestration

Apis, API design, Microservices, Distributed Systems, Debugging, LLMs, customer-facing applications, event-driven architectures, generative AI capabilities, vector databases, software engineering fundamentals, data-driven product development, retrieval systems, object-oriented design, experimentation, feature flags, production services at scale, semantic search, root-cause analysis, cloud-native development

react.js , Aws Lambda, Node.js, Webrtc, Python, LangGraph, Vector Databases, LLM APIs, RAG, MCP, Serverless, Prompt Engineering, Real-Time Speech STT TTS

Debugging, Node.js, Sql, Nosql, Rest Apis, Python, LangChain, Prompt engineering, LLMs, Evaluation harnesses, LangGraph, RAG, Multi-agent workflows, Tool integration

Javascript, Apis, Python, agentic workflows, LLMs, cloud-based applications, prompt engineering

Rest Apis, Python, Cloud Infrastructure, Docker, LangChain, LlamaIndex, vector search, backend service architecture, vector databases, embeddings, RAG systems, Weaviate, pgvector, Pinecone, retrieval techniques, LangGraph, Qdrant

.NET, Java, Json, Sql, React, Javascript, Rest Apis, Python, C#, Node.js, Swift, Generative AI, Claude, RAG pipelines, GPT-4, Prompt engineering, Agentic AI development, LLM platforms

S3, Apis, Lambda, Docker, Terraform, FastAPI, Kubernetes, Python, AWS, observability and monitoring platforms, Langchain, CI CD, EKS, Autogen, LangGraph, A2A, Vector Databases, AI Agent frameworks, Pydantic, AI Technologies, prompt context engineering, MCPs, LLMs integration