Publications & Contributions
Technical publications, patented innovations, and open-source contributions advancing the field of enterprise AI.
Patented Innovation
A novel approach to data lake architecture that addresses the 'garbage in, garbage out' problem preventing enterprises from deploying reliable AI. The patent describes methods for organizing enterprise data to enable AI-readiness.
Cited by Fortune 500 R&D Teams
The following companies have cited this patent in their own patent applications, demonstrating the methodology's relevance to cutting-edge R&D:
Intuit Inc.
Financial Technology
Database query optimization for tax/finance applications
US20230244661A1 (2023)
Abiomed / Johnson & Johnson
Medical Devices
Medical device data management systems
DE112022000538T5 (2023)
Mastercard Technologies
Payments Infrastructure
Data enclave patterns for payment processing
US20240303248A1 (2024)
Technical Publications
4 articles totaling ~7,100 words published over 18 months (2024-2026)
Introduces TOON (Token Optimized Object Notation), an original methodology for reducing LLM operational costs by 40-60%. Includes quantified cost analysis across major LLM providers.
Addresses the root cause of RAG implementation failures—inadequate data architecture. Connects to patented data lake methodology and its application to AI systems.
Provides guidance on prompt engineering techniques including few-shot learning, chain-of-thought prompting, and role prompting for enterprise AI applications.
Educational article on transformer architecture, LLM training, and enterprise applications of large language models.
Open Source Contributions
Freely available tools that any organization can use to reduce their AI operational costs
Community Engagement
Sharing knowledge with the broader AI practitioner community
"Reduce RAG Context Token Costs by 40-60% with TOON"
View PostImpact Summary
1
U.S. Patent
3
Fortune 500 Citations
4
Technical Articles
2
Open Source Libraries
Interested in my work?
Read my blog for deeper technical insights or get in touch to discuss how I can help with your AI projects.