Fixed-scope architectures for Production AI and High-Scale Data Systems.

We focus on shipping production-ready systems. Every engagement is structured as a fixed-scope project with defined deliverables, a clear timeline, and precise IP transfer protocols.

Pilot Program: The Retail Engine

Scope: 90-Day Sprint

This program is designed to validate Generative AI within your ecosystem without disrupting core operations. I deploy a pre-configured version of my proprietary “Cold Start” engine to demonstrate immediate utility using your actual data.

Deployment: Implementation of the multi-agent system with Tiered Output Logic (Standard vs. Premium).
Visual Engine: Implementation of Multi-View Synthesis to generate consistent 4-angle perspectives of garments on-model, plus Generative Video assets.
Integration: Connection of the reasoning layer to your Live Product Database.

Outcome: A live, production-ready AI environment operating on your data in 12 weeks.

Infrastructure Modernization: Data Orchestration

Scope: 3-6 Month Engagement

AI models are only as effective as the data they access. This engagement focuses on the “plumbing”—preparing legacy infrastructure for the Generative AI era. I re-architect your data flow to connect real-time operational state directly to the inference layer.

ETL Engineering: High-volume data bridges connecting heterogeneous systems—spanning Commerce (Magento, Shopify), Legacy ERPs, and external partner networks (Media Distribution, Logistics, Third-Party APIs).
Dynamic Context Injection: Integrating live state (Amazon FBA, WMS, Content Rights) into AI decision-making protocols to prevent hallucinations.
Vector Indexing: Structuring unstructured product or content catalogs for Retrieval-Augmented Generation (RAG).

Outcome: Disconnected legacy silos are transformed into inference-ready data pipelines, delivering a unified, real-time context layer to your AI.

Custom Development: Proprietary Agent Systems

Scope: 12-Month Partnership

For organizations securing a competitive moat through exclusive intellectual property, I architect bespoke multi-agent systems. Whether utilizing my existing engine for acceleration or engineering from zero for total ownership, every solution is formally verified with TLA+ to ensure absolute reliability.

Custom Architecture: Bespoke systems for Visual Search, Supply Chain Prediction, or Automated Merchandising.
IP Ownership: Flexible structuring. Choose between an Enterprise License for the Retail Engine or 100% Source Code Transfer for custom systems engineered from zero.
Post-Launch Support: Includes a maintenance period and options for long-term architectural oversight to ensure seamless production performance.

Outcome: Ownership of a proprietary software asset that competitors cannot replicate.

Architectural Forensics & Formal Verification

Scope: 2-6 Week Engagement

Designed for enterprise teams facing “phantom bugs,” concurrency errors, or unstable AI behavior that standard debugging cannot isolate. I apply formal methods to model your existing system logic and uncover the uncover the fundamental design defects causing the instability.

TLA+ Formal Verification: Creating a formal specification of your core business logic to mathematically isolate the exact sequence of events triggering race conditions and state inconsistencies.
Concurrency Analysis: Identifying deadlock risks and race conditions in distributed systems (Kubernetes/Serverless/Cloud) that only appear under load.
Hallucination Auditing: Tracing the decision trees of existing AI implementations to determine why models deviate from business rules.

Outcome: A forensic engineering report isolating the root cause of critical failures, with a roadmap for remediation.