Technical detail belongs in the same conversation as its consequence.

Howard Pearlmutter has completed more than 200 paid engagements, primarily through companies he founded. His development and consulting clients include NASA, Apple, Disney, Xerox, HP, Kodak, CBS, Fujitsu, CSC, Capital One, Symantec, and the Financial Times.

His work combines architecture with implementation, investigation with practical explanation, and emerging possibilities with systems people have to use.

Systems experience with particular results

A mission-critical distributed caching grid had suffered recurring degradation and crashes for nine months before his intervention. He resolved the problem and continued into future architecture and feasibility work.

In banking integration, two weeks of tuning tripled transactional message performance, with hardware cost reduced by more than 50%.

A financial-information assessment examined a troubled investment involving more than seventy million documents. Diagnostic tooling connected client agents, interfaces, services, and persistence for video delivery.

These are separate historical engagements. Together they show the range behind the questions explored here.

Foundations and continued building

His background includes MIT supercomputer research, parallel computing for NASA Ames, extensible languages, personal-computer software, enterprise integration, and commercial systems.

His AI experience began with LISP in 1974. He continues with AI-assisted architecture and implementation, testing, refactoring, review, and agentic workflows.

At Telos Alliance, his custom AI-for-product-development engagement combined cross-role learning with practical prototypes. John Schur wrote, “I felt that Telos received multiple times the value of our investment.”

For cachemetrics.com, the connecting question is straightforward: what does a technical result actually enable, cost, and require?

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