Building AI Solutions for
Real-World Problems
I'm Bryan Thompson, an AI researcher and developer creating innovative solutions that democratize access to powerful technology. From legal AI to data analysis tools, I'm working to make advanced AI accessible to everyone.
Featured Projects
Explore my latest AI innovations designed to solve complex challenges and create real-world impact.
Triepod.ai Knowledge Base Platform
Enterprise RAG system with vector database integration for semantic document search and AI-powered insights
A sophisticated knowledge management platform built with React and Node.js that combines PostgreSQL and Pinecone vector databases for advanced document processing and retrieval.
Disability Rights AI Assistant
Transform complex discrimination cases into powerful legal documents
Revolutionary AI technology that creates enterprise-grade disability rights documentation at 95% less cost than traditional legal services.
Directory Tree AI
Intelligent file system analysis and visualization
Advanced AI system for understanding, analyzing, and visualizing complex directory structures with semantic understanding of code relationships.
AI Research Engine
Multi-database knowledge synthesis at scale
Powerful research system combining Neo4j knowledge graphs, Qdrant vector search, and Chroma sequential reasoning for comprehensive AI-powered research.
Stellar TrieLink
Unified middleware for LLM providers with performance optimization and caching
Stellar TrieLink is a sophisticated middleware solution that provides a unified interface for multiple Language Model providers. It serves as a centralized abstraction layer between applications and various LLM services like Ollama, OpenAI, and local models.
Ollama MCP Server
Model Context Protocol server enabling Claude to interact with local Ollama models seamlessly
A sophisticated TypeScript-based MCP (Model Context Protocol) server that bridges Claude Desktop with local Ollama models. This integration enables Claude to access and utilize locally-hosted language models through a standardized protocol, providing enhanced privacy and control over AI model interactions.
Merger Balance Sheet Automation
AI-powered financial data reconciliation system for bank mergers with >90% accuracy using vector embeddings
A comprehensive solution for automating the integration of CSV data into Excel balance sheets for financial mergers. This tool addresses complex data matching challenges using three progressively sophisticated approaches: standard exact matching, enhanced logging with fuzzy matching, and vector-based semantic matching using AI embeddings. The vector-based version achieves over 90% fill rate compared to 37.5% with traditional exact matching, making it ideal for handling inconsistent naming conventions and missing data in financial mergers.
VectorCodeLens
Semantic codebase analysis platform using vector embeddings and LLMs for intelligent code understanding.
VectorCodeLens is a sophisticated TypeScript application that revolutionizes how developers understand and query codebases. By combining vector embeddings, large language models, and the Model Context Protocol (MCP), it provides intelligent semantic analysis that goes beyond traditional static code analysis.
Technology Expertise
Leveraging cutting-edge AI and development technologies to build innovative solutions.
AI & Machine Learning
GPT-4, Claude 3, LangChain, and custom ML models for intelligent automation
Full-Stack Development
Next.js, TypeScript, Python, and modern web technologies
Data & Security
Neo4j, vector databases, and enterprise-grade security practices
Ready to Transform Your Ideas?
Whether you're interested in collaboration, investment opportunities, or learning more about my projects, I'd love to hear from you.