Complete
Project Portfolio
9 working prototypes built from novel ideas, organized by complexity and scope. Each demonstrates the journey from concept to functional application through creative problem-solving.
Flagship Projects
Most SophisticatedProductIntel
AI-native development operations platform
A comprehensive platform replacing legacy silos with a unified, graph-connected workspace. Features AgentWeave orchestration, a Context Engine, and a complete AI Workforce management system with 21 specialized agents.
EasyComm
Enterprise Multi-Channel Communication Platform
Working prototype demonstrating AI-powered document processing with dual-mode architecture and 4-LLM synthesis. Built to validate solutions for print/mail service provider onboarding challenges.
Deep Dive Projects
Advanced SystemsComm-Recon
Financial Reconciliation Command Center
Prototype demonstrating function-calling RAG for financial data queries with real-time monitoring capabilities.
- •Function-calling RAG for precise data queries (vs. approximate vector search)
- •Real-time SLA monitoring with 30-second polling
Domain AI Studio
End-to-End Local LLM Platform
Planned platform unifying RAG knowledge management with local model fine-tuning. Will combine document ingestion, vector search, and RAG capabilities with frontier-to-local model distillation, enabling organizations to build privacy-preserving domain-expert AI systems optimized for Apple Silicon.
- •End-to-end workflow: Document upload → RAG knowledge base → Training data generation → Local model fine-tuning
- •RAG architecture with automated document embedding and vector similarity search
Document Rationalizer
AI-Augmented Document Gap Analysis
A stateful workspace for ingesting client PDF samples, intelligently clustering them into templates, and performing strict, deterministic gap analysis against baseline product offerings.
- •Schema-First approach converting visual PDFs directly into standard JSON structures
- •Hybrid architecture strictly separating AI clustering from deterministic Pandas gap analysis