You will get Intelligent Document Search with RAG & LLM Integration
Project details
Production-grade RAG system built from scratch or with frameworks (LangChain/LlamaIndex) based on your needs. I specialize in intelligent document search with 94% retrieval accuracy, semantic understanding, and cost-optimized LLM integration. Proven track record: processed 50+ financial documents, achieved 2.5s response time, 96% citation accuracy, and 70% cost savings through smart routing. Whether you need 50 or 1,000+ documents indexed, I deliver scalable solutions with page-level source attribution, hybrid search, and enterprise security. Custom-built for maximum control or framework-based for rapid deployment. Includes complete documentation, API integration, performance validation, and training. From requirements gathering to production deployment, I handle the entire RAG pipeline: document processing, semantic chunking, vector database setup, intelligent retrieval, and LLM generation. Let's transform your document search with AI-powered intelligence that actually works in production.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI-Enhanced Classification, Conversational AIAI Development Language
PythonAI Tools
PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, DALL-E, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$100
|
Standard
$400
|
Advanced
$950
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 4 | 6 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | - | ||
Natural Language Processing | - | - | |
NLP Tokenization | - | ||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | |
Source Code | - | - |
About Anoop
AI Solutions Architect | RAG Systems, LLM Integration & Financial ML |
Aurora, United States - 5:05 am local time
PROVEN IMPACT & RESULTS:
🚀 Developed automated recommendation engine for Google Ads platform, processing millions of advertising campaigns to deliver intelligent optimization suggestions that improved campaign performance and user engagement at scale
📊 Built RAG system processing 50+ financial research documents with GPT-4 and Claude integration, enabling instant analysis of complex investment reports and reducing research time by 70%
📈 Developed momentum signal algorithms analyzing 317,000+ equity data points daily using proprietary Rate of Change metrics, achieving 10-50% performance improvements in signal accuracy
🎯 Reduced portfolio risk by 40% through custom technical indicators (ROC, MA, RSI, ATR) and predictive models that identify high-probability investment opportunities
⚡ Implemented real-time data processing pipelines handling 317K+ equity records with automated anomaly detection and risk scoring
📉 Created Power BI dashboards connecting live Azure databases, transforming complex analytics into actionable insights for portfolio managers and executives
🔧 Deployed end-to-end MLOps pipelines from data ingestion to production deployment, ensuring 99%+ uptime for mission-critical financial systems
WHAT I BRING TO YOUR PROJECT:
🔹 Enterprise-Scale AI & Recommendation Systems
At Google, I built intelligent recommendation engines that operated at massive scale, processing millions of data points to deliver personalized, actionable insights. This experience taught me how to architect AI systems that perform reliably under real-world production demands.
🔹 Advanced RAG & LLM Integration
I specialize in building Retrieval-Augmented Generation systems that combine the power of GPT-4, Claude, and custom embeddings with your proprietary data. Whether it's 50 documents or 50,000, I create intelligent systems that understand context, provide accurate answers, and cite sources.
🔹 Financial ML & Predictive Analytics
From momentum signals to fraud detection algorithms, I develop machine learning models that identify patterns in complex datasets. My work at Equity Risk Sciences proved these systems can deliver double-digit performance improvements and significant risk reduction.
🔹 Production-Ready AI Solutions
I don't just build prototypes. My enterprise experience at Google and Best Buy means I architect solutions with scalability, reliability, and maintainability from day one—using cloud infrastructure (Azure, GCP), proper MLOps practices, and production-grade code.
🔹 Data Visualization That Drives Decisions
I create interactive Power BI dashboards and analytics platforms that make sophisticated AI insights accessible to non-technical stakeholders, turning complex algorithms into clear business intelligence.
CORE TECHNICAL EXPERTISE:
- AI/ML: Python, TensorFlow, Scikit-learn, RAG Architecture, Vector Databases, Recommendation Systems
- LLMs: GPT-4, Claude API, Prompt Engineering, Semantic Search, Document Processing
- Data Engineering: SQL, Azure/GCP, Real-time Pipelines, ETL, Database Optimization
- Analytics: Power BI, Financial Modeling, Technical Indicators, Risk Assessment
- MLOps: Model Deployment, Monitoring, CI/CD, Containerization
IDEAL PROJECTS FOR ME:
✓ RAG system development for document analysis (legal, financial, research)
✓ AI-powered fraud detection and document verification systems
✓ Recommendation engines and personalization systems
✓ Financial analytics and predictive modeling solutions
✓ LLM integration and custom AI application development
✓ ML pipeline development from prototype to production
✓ Power BI dashboards and advanced data visualization
✓ Custom analytics for fintech, investment firms, and enterprise
I combine deep technical expertise with a track record of delivering measurable business value. Let's discuss how I can help solve your toughest AI and data science challenges with solutions that actually work in production.
Steps for completing your project
After purchasing the project, send requirements so Anoop can start the project.
Delivery time starts when Anoop receives requirements from you.
Anoop works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Discovery & Architecture Design
Free consultation to understand your documents, use cases, and requirements. Analyze samples, discuss volume and integration needs. Create detailed architecture proposal with technology recommendations, timeline, and cost breakdown. Deliverable
Document Processing & Semantic Chunking
Extract text/tables from PDFs using pdfplumber. Implement intelligent chunking (1,000 chars, 100 overlap) preserving context. Create metadata tracking for sources and pages. Deliverable: Processed chunks in structured JSON with complete metadata.