Building Intelligent Agents & RAG Systems

AI Agents| RAG Architecture | Power BI Intelligence

I design autonomous AI agents with advanced RAG capabilities, integrated with Power BI for intelligent business analytics. Expert in LangChain, HuggingFace, vector databases, and multi-agent orchestration.

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Agentic AI & RAG Expertise

🤖 AI Agents

LangChain LlamaIndex AutoGPT Multi-Agent

🔍 RAG Architecture

Vector DBs Pinecone Embeddings Chunking

🧠 LLM Engineering

GPT-4 Llama 2/3 Fine-tuning Prompt Engineering

📊 AI-Powered BI

Power BI Azure Vision DAX Smart Narratives

🌐 Knowledge Graphs

Graph RAG Neo4j SPARQL Wikidata

💻 Core Stack

Python FastAPI Docker AWS/GCP

Featured Projects

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RAG SYSTEM

NL-to-SPARQL Agent

Autonomous agent converting natural language to SPARQL queries with entity linking and knowledge graph traversal using Wikidata.

Python SPARQL NLP
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LLM FINE-TUNING

BERT for Industrial NER

Domain-specific Named Entity Recognition using fine-tuned BERT for industrial maintenance logs and technical documents.

BERT HuggingFace PyTorch
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AI-POWERED BI

AI-Enhanced Power BI: Airbnb

Power BI dashboard enriched with Azure Vision API for automated image analysis and K-means clustering of listings.

Power BI Azure Vision Clustering
😊
COMPUTER VISION

Attention-Enhanced Emotion Recognition

Facial Emotion Recognition with CBAM (Convolutional Block Attention Module) for mood-based music recommendations.

CNN CBAM OpenCV
☀️
DEEP LEARNING

Solar Panel Fit Estimation

Satellite imagery analysis using DeepLabV3 segmentation and MiDaS depth estimation for rooftop solar feasibility.

PyTorch DeepLabV3 MiDaS
🎬
DATA ANALYTICS

Netflix Strategy Analytics

Strategic analysis of Netflix content using Python, Pandas, and Plotly to optimize content and release strategies.

Pandas Plotly EDA

Let's Connect

✉️

Email

vidya.rayar@gmail.com

💼

LinkedIn

linkedin.com/in/vidyashreerayar

💻

GitHub

github.com/vidyashreerayar

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