Devon Shigaki
Founder. Engineer. Inventor.
Designing long-horizon systems across trust, identity, and computation.
Nearly two decades in engineering across full-stack architecture, distributed systems, applied AI/ML, and simulation design.
I build systems that must survive scrutiny — technical, economic, and institutional.
My work centers on structural trust:
How identity, incentives, and computation align over time.
I optimize for durability over momentum.
My operating loop:
- 01Define clearly.
- 02Diagnose honestly.
- 03Build deliberately.
- 04Measure.
- 05Refine.
I have founded multiple aligned entities built around a shared thesis:
Systems should align incentives with long-term human agency.
Founded Entities
FreshCredit®
Infrastructure for trust-based credit and identity systems.
The FreshCredit Lab
Applied systems research and experimentation.
The FreshCredit Org(501c3)
Nonprofit initiatives focused on financial literacy and equitable access frameworks.
The FreshCredit DAO
Decentralized governance and incentive-aligned infrastructure experimentation.
My work has extended into policy, government, and executive environments.
Testified before Special Committees for Congress.
Briefed U.S. Senators in Washington, D.C.
Engaged with ambassadors from dozens of countries on credit, identity, and emerging technologies.
Worked with executives from Fortune 5 companies.
Participated in dialogue involving the White House.
Collaborated in discussion with institutions including Stanford and Harvard.
Focus Areas
Exposure without dependency.
Dialogue without partisanship.
Inventor on multiple published patents relating to decentralized systems and secure data architectures.
Primary Focus Areas
Distributed verification systems
Trust-based data frameworks
Identity modeling infrastructure
Incentive-aligned computational design
Intellectual property functions as structural protection — not marketing.
Currently completing degree work in computational neurolinguistics.
Research Interests
Computational models of language
Cognitive representation systems
Semantic compression and structure
Human-machine interpretability
My engineering background informs my academic work:
Language is a system.
Memory is encoded structure.
Systems reflect incentives.
The long-term objective is to design systems that understand meaning — not merely data.
I optimize for
Conviction is earned through testing.
Reflection is part of execution.
I assume I am wrong first.
Then I measure.
I am a father.
That reframes time.
Most decisions are evaluated by whether they remain stable across generations.
My heritage is German, Japanese, and Jewish.
Each lineage carries traditions of discipline, rebuilding, memory, and resilience.
I view systems through that lens:
Fragility compounds.
Resilience compounds.
Incentives compound.
Identity is not branding. It is responsibility.
Selected Builds
I prototype to challenge assumptions.
I publish when models survive pressure.
Available For
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