Case Studies

Results That Matter

How I've helped engineering teams adopt AI, scale through fundraises, and ship production systems. Each engagement is different — here's what happened.

AI Adoption Web3 gaming company · discovery platform & token launchpad

90% improvement in AI output accuracy

Org-Wide AI Adoption at a Web3 Gaming Platform

Challenge

The company needed to go beyond developers using Copilot. Every function — Design, Finance, Executive, Technology, Marketing — needed to work differently with AI, but there was no shared framework. AI outputs were inconsistent, product engineering was drowning in scope churn, and leadership couldn't get straight answers from their data without pulling an engineer.

Approach

Rolled out a cross-functional AI adoption program covering five departments. Restructured product engineering around Spec-Driven Development to eliminate scope thrash. Built and deployed a Claude Skill Directory with prompt shaping patterns so every team used AI the same way. Placed an AI agent on top of the data warehouse so executives and analysts could ask questions and get answers without engineering involvement.

Result

AI output accuracy improved by 90% across the organization through shared prompt-shaping patterns. Engineering regained focus with Spec-Driven Development. Executives got direct, self-serve access to business intelligence through the warehouse agent. Alongside the AI work: built and shipped a Web3 gaming discovery platform and token launchpad.

AI AdoptionSpec-Driven DevelopmentData WarehouseClaude SkillsWeb3Leadership
Fractional CTO Gaming company · fleet of 73 production servers

+33% player retention · -10% infra cost · 90% pen test savings

Kubernetes Migration for a Gaming Platform

Challenge

The company was running a fleet of 73 servers with aging infrastructure. Costs were climbing, the security posture was weak enough that yearly penetration tests were a major line item, and the infrastructure required two dedicated engineers just to keep it running. Player experience was suffering from instability — directly hitting retention.

Approach

As Head of Engineering, led the migration of the entire 73-server fleet to Kubernetes. Rebuilt the deployment pipeline, introduced infrastructure-as-code, and hardened the security model to modern standards. Restructured the on-call and incident response process around the new platform.

Result

Player retention jumped 33% on the back of a more stable platform. Monthly infrastructure costs dropped 10%. The two engineers previously maintaining infrastructure were redeployed to product work. The hardened security posture cut yearly penetration testing costs by 90%.

KubernetesInfrastructureMigrationSecurityGamingCost Optimization

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Engineering Enterprise consortium · industry under NDA

First-of-kind protocol for a regulated industry

Industry-Wide Tokenization Protocol

Challenge

An established industry needed to tokenize physical products on-chain, but no standard existed for how to do it safely, interoperably, or in a way that would satisfy the regulatory environment. The players in the space had competing interests and incompatible approaches — without a shared protocol, tokenization would fragment into silos and none of it would scale.

Approach

Led the blockchain engineering effort to design and establish an industry-wide tokenization protocol. Worked directly with stakeholders across the consortium to align on technical standards, custody models, and on-chain data structures. Built reference implementations, ran the smart contract architecture reviews, and coordinated the technical path to adoption.

Result

Delivered a tokenization protocol that multiple players in the industry aligned on — unlocking interoperable tokenization of physical products across competing companies. Set a precedent for how the industry handles on-chain representation of real-world assets going forward.

BlockchainSmart ContractsTokenizationProtocol DesignStandardsRWA

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