Sql, Git, Docker, API development and integration, Rest Apis, Python, tool function calling, vector databases, prompt engineering, LLM APIs, workflow automation, RAG, AI evaluation, SDKs, agent orchestration, observability

Sql, Rest Apis, Python, LangChain, vector search, Generative AI, AWS Bedrock, AI Agents, embeddings vector databases, Amazon Bedrock Knowledge Bases, Gen AI, LangGraph, data-processing, LlamaIndex, Prompt Engineering

Aws Lambda, Rest Apis, Python, LangChain, Generative AI, AI Agents RAG pipelines, prompt engineering, LangGraph, Vector Databases, LLM applications, Agentic AI, MLOps practices, LLM optimization techniques, microservices architecture, AWS SageMaker, Amazon Bedrock, Embedding Models, model deployment strategies

Apis, Power Platform, Enterprise Application Integration, automation, Python, Generative AI, LLMs, prompt engineering, RAG, AI agents, Azure AI, Microsoft AI, Copilot Studio

FastAPI, Python, Agent harnessing, GenAI technologies, Scalable backend systems, AI agent development, Agentic AI suite, Agent deployment

PostgreSQL, Docker, Python, Azure DevOps, Git, Rest Apis, Anthropic Claude, Vector search, Azure OpenAI, LangGraph, GitHub Actions, AI-assisted development tools, Agentic workflows, Evaluation, Generative AI, Asynchronous processing, LLMs, Microsoft Foundry, Azure AI stack, Claude Code, Guardrails, Semantic Kernel, GitHub Copilot, Intelligent document processing, CI/CD, Microsoft Agent Framework, AI observability, OpenAI, Prompt design, Structured outputs

Data Modeling, PostgreSQL, Redis, Nosql, Elasticsearch, vector search, ranking strategies, hybrid retrieval, Agentic AI, Azure AI Search, semantic search, pgVector

Tensorflow, Machine Learning, Pytorch, Python, Recommendation Systems, Search Relevance, Feature Engineering, Data Pipelines, Model Training