Publications & Contributions

Technical publications, patented innovations, and open-source contributions advancing the field of enterprise AI.

Patented Innovation

U.S. Patent
System and Method for Managing Interactions with Data Lake
U.S. Patent No. 10,846,307 B1 | Issued: November 24, 2020

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)

View on Google Patents

Technical Publications

4 articles totaling ~7,100 words published over 18 months (2024-2026)

LinkedInJanuary 2026~2,800 words
Optimizing Data for LLMs: An Introduction to TOON

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.

Token OptimizationLLM EconomicsEnterprise AIData Representation
Read Article
LinkedInJanuary 2026~1,600 words
Why Your RAG System Fails: The Data Architecture Problem

Addresses the root cause of RAG implementation failures—inadequate data architecture. Connects to patented data lake methodology and its application to AI systems.

RAGData ArchitectureAI ReliabilityData Lake
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LinkedInAugust 2024~1,200 words
Prompt Engineering: Unlocking the Power of AI Language Models

Provides guidance on prompt engineering techniques including few-shot learning, chain-of-thought prompting, and role prompting for enterprise AI applications.

Prompt EngineeringFew-Shot LearningChain-of-ThoughtEnterprise AI
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LinkedInSeptember 2024~1,500 words
Large Language Models: An Introduction

Educational article on transformer architecture, LLM training, and enterprise applications of large language models.

LLMTransformersNLPAI Education
Read Article

Open Source Contributions

Freely available tools that any organization can use to reduce their AI operational costs

TOON Converter (Python)
MIT
Token Optimized Object Notation library that reduces LLM token consumption by 40-60%
75+ unit testsNested objectsArraysSpecial characters
TOON Converter (.NET)
MIT
C# implementation of TOON for .NET ecosystem with enterprise Azure OpenAI integration
75+ unit testsPOCOsAnonymous typesToken statistics

Community Engagement

Sharing knowledge with the broader AI practitioner community

Reddit r/LangChain
70,000+ members | Technical community focused on RAG and LLM application development

"Reduce RAG Context Token Costs by 40-60% with TOON"

View Post

Impact Summary

1

U.S. Patent

3

Fortune 500 Citations

4

Technical Articles

2

Open Source Libraries

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