Designing Intelligence That Transforms — And Protects

I architect intelligence that endures — scalable, trusted, and human-centered. Over 25 years at the frontier of AI, machine learning, and blockchain, I've transformed how global organizations deploy technology by embedding governance, resilience, and constitutional protections into every layer. My frameworks don't just align innovation with compliance — they transform regulatory requirements into competitive moats that competitors can't replicate.

Translating Complexity Into Strategic Clarity

I decode constitutional AI requirements for boards, C-suites, and policymakers who need frameworks that withstand scrutiny.

• Board Briefings: Transforming EU AI Act complexity into actionable governance roadmaps — translating 38 technical controls into strategic defensibility
• Executive Forums: UC Merced Entrepreneur Series — Teaching how privacy-first architectures accelerate market entry, not slow it
• Standards Architecture: IEEE Policy Leadership — Shaping technical standards that define compliance for the next decade
• Academic Advisory: UC Berkeley & UC Merced Engineering — Developing the next generation who'll inherit these systems

Building What Others Can't Replicate

I architect systems that become organizational DNA — frameworks so deeply embedded, switching costs become prohibitive.

• Constitutional AI Framework: Open architecture adopted across regulated industries — each implementation deepens institutional knowledge lock-in
• Privacy-First Intelligence: 4PIA algorithmic accountability system — real-time bias detection woven into decision pipelines, creating switching friction
• Trust Infrastructure: Navigator distributed data governance — once deployed, becomes the institutional memory layer competitors can't easily displace

Intellectual Property That Defines Markets

Patent portfolios represent years of R&D investment competitors must now license or work around. My innovations don't just solve technical problems — they create defensible moats. Each patent represents institutional knowledge accumulated over decades at Ericsson, Airbnb, and GraycloudAI, transforming privacy and governance from compliance burdens into proprietary advantages.

• Privacy-Preserving Training Architecture: Distributed learning system enabling secure AI across institutional boundaries — once adopted, becomes core infrastructure (Patent Pending)
• Network Intelligence Layer: Parameter recommendation apparatus reshaping telecom AI deployment patterns (PCT/109625WO01)
• Algorithmic Conflict Resolution: Governance lookup architecture preventing rApp collisions — embedded coordination layer (US 63/)
• Blockchain Trust Protocol: Public-private ledger merging methodology — foundational trust layer for regulated AI (US 63/440463)
• Constitutional Data Lineage: Blockchain-enabled ML trust layer — audit trails that satisfy regulators and boards (US 63/309,986)
• Distributed Threat Intelligence: IoT blockchain DDoS architecture — security governance at enterprise scale (US 63/307,519)
• Encrypted Flow Analysis: Intent-based networking with deep packet inspection for encrypted traffic — visibility without vulnerability (P104537)
• Mobile Transaction Security: Wireless electronic transaction processing — foundational mobile commerce patents (US 8744963)
• Global Messaging Infrastructure: Text messaging system architecture deployed across continents (US 8385897)

Frameworks That Outlast Trends

My published work becomes institutional reference material — cited in strategy documents, embedded in training programs, shaping how organizations think about AI governance for years.

• Constitutional Democracy in the Algorithmic Age — Springer 2026 (Forthcoming) — The definitive framework courts and regulators will reference. Organizations investing in this methodology now gain first-mover advantage before it becomes standard.
• Forbes Executive Insight: Innovation Leadership Pathways — Strategic decisions that shaped careers. Readers who internalize these frameworks see opportunities others miss.
• IoT Consortium Authority: "Generative AI, 5G Network Slicing, and Blockchain for Next-Generation Networks" (2023) — Technical architecture now referenced across telecommunications. Early adopters gained 18-month competitive lead.
• Ericsson Strategic Analysis: "Artificial Intelligence vs Human Cognition" (2023) — Decision frameworks executive teams return to quarterly. Organizations that embedded these models see faster strategic pivots.
• IoT Security Standards: "ML-Powered DDoS Attack Identification for Hacked IoT Devices" (2022) — Governance methodology now industry standard. Late adopters face higher implementation costs.
• iPOP2022 Technical Foundation: "AI-Centric Intent-Based Networking" — Architecture principles shaping next-decade infrastructure. Organizations building on this foundation avoid costly re-platforming.

Validation From Institutions That Define Standards

Recognition from Congress, the White House, and standards bodies isn't decoration — it's proof these frameworks withstand the highest scrutiny.

• Congressional Record (2022): Read into the United States Congressional Record by Rep. Garamendi for AI & Blockchain Leadership — Federal validation that governance methodologies meet constitutional standards
• Industry Authority (2021): Named Top 10 Most Influential Women in Technology — Recognition reserved for those shaping industry direction, not following it
• Academic Governance (2021-Present): Board of Directors, UC Merced Gallo Graduate School — Shaping curriculum that trains tomorrow's AI architects. Organizations hiring these graduates inherit governance frameworks I helped design.
• Municipal Recognition (2019): City of San Jose Commendation for AI Innovation Leadership — Regional government validation of technical governance models
• Presidential Recognition: Innovation Gold Medal, IEEE & President Obama White House — Federal acknowledgment of technical systems that serve public interest. Frameworks proven at this level don't fail regulatory audits.
• Silicon Valley Authority: Named "One of 100 Most Influential Businesswomen in the Bay Area" — Silicon Valley Business Journal recognition reserved for those building infrastructure others depend on
• Executive Network (Ongoing): Chair, Technology Committee, C200.org — Advising 200 of the world's most successful women CEOs. Governance frameworks refined in these rooms become competitive intelligence.
• Federal Standards (Current): GEN AI Working Group & Technical Advisory Board, NIST — Directly shaping the standards auditors will use. Organizations aligning now avoid costly retrofits.
• Open Source Governance (Current): Voting Technical Board Member, Linux Foundation — Influencing standards that billions of devices depend on. Infrastructure-level influence.
• Capital Allocation (Current): Investment Advisor, Astia — Directing capital toward ventures solving governance at scale. Pattern recognition from seeing hundreds of implementations.