# Skills of Swarnava Dutta

> Tools used across GenAI, Azure AI, evaluation, vector search, LLMOps, and data engineering.

## GenAI & LLMs

LLM applications built with RAG, GraphRAG, agent workflows, and prompt design.

RAG Architecture, GraphRAG, Knowledge Graphs, Agentic AI, Model Context Protocol, LangGraph, LangChain, LlamaIndex, Hugging Face, OpenAI, Azure OpenAI, LoRA/PEFT, Prompt Engineering, BERT/T5, AI Agents, A2A Protocol, Human-in-the-Loop

## Azure AI

Azure AI Foundry, Azure OpenAI, AI Search, Functions, and the data services around them.

Azure AI Foundry, Copilot Studio, Azure AI Search, Azure Functions, Azure Key Vault, PromptFlow, Azure Kubernetes, Azure Data Lake, Azure Databricks, Azure Data Factory

## Evaluation & Quality

Eval suites for retrieval relevance, groundedness, answer quality, and regression tracking.

BLEU, ROUGE, Recall@k, NDCG, F1 Score, RAGAS, LangSmith, Langfuse, Promptfoo

## Vector Databases

Vector and graph-vector retrieval with embeddings, hybrid search, reranking, and semantic indexes.

Pinecone, FAISS, ChromaDB, Pgvector, Hybrid Search, Graph-Vector Retrieval, Semantic Search, Embeddings

## LLMOps

Deployment, monitoring, orchestration, and automation for AI applications in production.

Git, Docker, Kubernetes, FastAPI, CI/CD, Airflow, Redis, MLflow, Azure DevOps, Monitoring

## Programming & Data

Python, SQL, ML libraries, and data platforms used across model and data pipelines.

Python, PyTorch, TensorFlow, SQL, Pandas, NumPy, PySpark, TypeScript/React, Kafka, Data Modeling, Unity Catalog, Delta Lake