Exploring AI Implementation
at Enterprise Scale

Research and development in RAG architectures, Azure AI integration,
and production-grade LLM systems

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Areas of Focus

RAG Architectures

Building retrieval-augmented generation systems for enterprise knowledge bases

Currently exploring:

  • Vector database optimization
  • Hybrid search strategies
  • Context window management
  • Azure AI Search integration

LLM Integration

Production implementations with Anthropic Claude and Google Gemini

Research areas:

  • Multi-model orchestration
  • Prompt engineering at scale
  • Function calling patterns
  • Streaming response optimization

Intelligent Automation

Document processing and workflow intelligence for regulated industries

Technical focus:

  • Azure Document Intelligence
  • Custom model training
  • Compliance-aware processing
  • Insurance and education verticals

Background

CBSI specializes in production AI implementation with a focus on enterprise-grade Azure infrastructure and modern LLM architectures.

Core Expertise:

  • Azure cloud architecture and AI services
  • RAG system design and optimization
  • Anthropic Claude and Google Gemini integration
  • Legacy system modernization with AI capabilities
  • Insurance and education domain expertise

Experience:

Decades of enterprise software development and architecture. Deep technical background in cloud infrastructure, distributed systems, and now leading-edge AI implementation.

Current Status:

Engaged in full-time technical leadership. Occasionally available for exceptional projects that push technical boundaries.

Azure AI
RAG Systems
LLM Integration
Cloud Architecture
Document AI

Recent Notes

Technical

RAG Context Window Strategies

Exploring hybrid approaches to context management in production RAG systems. Initial experiments with semantic chunking and adaptive retrieval show promising results for insurance policy documents...

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Architecture

Multi-Model Orchestration Patterns

Comparing Claude Sonnet and Gemini Pro for different workflow stages. Early findings suggest specialized routing based on task complexity yields better results than single-model approaches...

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Performance

Azure AI Search Performance at Scale

Benchmarking vector search performance with 100K+ document indexes. Observations on query optimization and index configuration for enterprise knowledge bases...

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More notes coming soon

Connect

Currently engaged in full-time technical leadership.

For collaboration on exceptional projects or technical discussions:

info@cbsiweb.com
(225) 366-3301

11766 S. Harrells Ferry Rd., Suite D

Baton Rouge, LA 70816

Selective project availability for 2025