workflow management , Git, Docker, Kubernetes, Testing, LangChain, Prompt engineering, RAG systems, Vector databases, Advanced Python programming, LLM optimization techniques, Embedding models

Ml, Machine Learning, Computer Vision, Apis, Neural Networks, Dynamo Db, Python Programming, Prompt tuning, AWS Bedrock, Prompt engineering, Similarity search using vector databases, Embedding generation, Ai, Solution Architecture design, Llm, Output evaluation, Agentic AI, Claude LLMs, Document ingestion

Power Automate, Nlp, Gcp, Elasticsearch, Azure, Python, AWS, LangChain, Generative AI, Microsoft 365 Copilot Studio, Power Apps, Vector Search, OpenSearch, Llm, RAG, Azure AI Search, LlamaIndex

Python, LangChain, AutoGen or equivalent, LLM Application Development, Agentic Multi-step AI Workflows, REST API Integration, RAG Retrieval Augmented Generation, AI Telemetry Monitoring, Prompt Engineering

containerization , Apis, Azure ML, Nlp, Docker, Azure, Kubernetes, Python, embeddings, LLMs, RAG patterns, Azure OpenAI, prompt engineering, vector DBs, AI Search

production deployment , Sql, Python, LLM-powered applications, workflow orchestration, AI pipelines, API integrations

Apis, Microservices, Nlp, Gcp, Azure, Python, LangChain, RAG systems, LLMs, MCP servers, human-in-the-loop workflows, LangGraph, AI guardrails, scalable system design, Vertex AI, evaluation frameworks, AI agents

Git, Docker, FastAPI, Python, LangGraph, LangChain, Vector Databases, OpenAI APIs, LlamaIndex

Databases, React, Python, HTML, data pipelines, AI-assisted development tools, secure development practices, ETL processes, modern JavaScript

Microservices, Rest Apis, Python, AI evaluation and observability, embeddings, cloud-native systems, Generative AI, Amazon Web Services Bedrock, vector databases, Conversation memory session handling, Tool calling and workflow design, AI Agent architectures, Vertex AI, AI guardrails and policy frameworks, Prompt orchestration, API integrations, RAG architectures