data engineering , Data Modeling, Pyspark, Data Warehousing, Azure Cloud Services, Azure Databricks, Sql, Data Transformation, Etl, Generative AI

runway , Gcp, Azure, Python, AWS, LangChain, Veo, Speech TTS systems, CrewAI, vector search, LLMs, retrieval-augmented generation, Sora, diffusion-based audio models, GPT, Semantic Kernel, LangGraph, LoRA, Google ADK, Midjourney, Pika Labs, Runway ML, Stable Diffusion

Nosql, Databricks, Sql, Python, RAG, Azure AI Search

Azure Functions, Azure DevOps, LangChain, Entra ID, Prompt Flow, GPT-4o, ADLS Gen2, Azure Key Vault, Azure Blob Storage, AKS, Azure OpenAI, GPT-4o-mini, Azure Container Apps, Semantic Kernel, LangGraph, GitHub Actions, Azure AI Studio, Azure AI Search, Application Insights, Azure Monitor

Python, LangChain, AI Agents, Vector databases, LangFlow, AI memory frameworks, Agentic AI systems, Generative AI architectures, LangGraph, semantic search, Tool calling frameworks, Embedding models, MCP Server implementation, Function calling, Memory sharing architectures, RAG pipelines, Multi-agent orchestration

Microsoft, Python, LangGraph, Vector Databases, Generative AI, Agentic AI, AI Foundry, Copilot AI tools, RAG, Azure AI

Apis, Docker, Version Control, Logging, Azure, Python, AWS, LLM APIs, Monitoring, CI CD

Java, Gcp, Restful Apis, Azure, Python, Microservices, AWS

Latency and cost thinking, Eval discipline, RAG fundamentals, Strong backend engineering, LLM pipeline engineering, Responsible AI and data privacy awareness, Prompt lifecycle management