Founder, Elliott AI Foundry LLC. Full-stack and AI engineering.

My goal is to use AI for the greatest human good. It's the most powerful technology humankind has ever had, and I build with it thoughtfully to help people achieve their highest good and make incredible personal transformations.

Privacy and security come first in everything I build, a mindset shaped by 33 years of service in the U.S. Navy and the intelligence community.

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I build LLM features into production apps and run AI agents as part of my development process. My focus is on making AI reliable: predictable output, a fallback when a model fails, and clear limits on what an agent is allowed to do.

• LLM integration, multi-model routing and failover
• Prompt design and structured output parsing
• Model evaluation and comparison
• MCP (Model Context Protocol) integrations
• Agent guardrails: spending limits, audit logging, kill switches
• Designed and built a personal AI operating system (AIOS): persistent context, a structured knowledge base, and session memory for AI agents

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I build mobile-first web apps from the database up to the interface. I design the data model, write the server logic, and ship the front end, working with AI coding agents across every language.

• Languages: TypeScript, JavaScript, HTML, CSS, SQL, Python, Swift (learning)
• Progressive web apps (PWA)

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AI-assisted translation and communication in any language. I build multilingual apps, including right-to-left languages, and my production app supports 50 languages.

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I design AI as adaptive technology. My apps include voice input and read-back built on the native speech features of phones and computers, so they work for more people with no extra downloads.

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Every change I ship goes through code review, automated tests, and a preview check before it reaches production. I release in versions and use feature flags, so any change can be rolled back or switched off quickly.

• Git and GitHub workflows, CI/CD with automated testing
• Workflow automation and scheduled tasks using native agent capabilities

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• SQL queries, dashboards, user behavior tracking, data cleaning and exports

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• Technical program management, plan to launch
• AI agent orchestration: coordinating dozens of AI agent teams
• Contractor management

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I build with a privacy-first, security-first mindset shaped by 33 years of service in the U.S. Navy and the intelligence community. Every project starts with the question of what data it truly needs, and collects nothing more. I treat user data as something I'm trusted to protect: access is locked down at the database level, secrets never touch code, personal information is masked wherever it can be, and users can export or delete their data at any time. I review security before launch, not after something goes wrong.

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• Data minimization: collect only what a feature needs
• Database-level access control: Postgres row-level security, so each user sees only their own data
• Passwordless authentication: one-time-code login with allowlist gating
• Secrets management: keys live in encrypted vaults and environment settings, never in code or chat, and get rotated if exposed
• PII masking: personal information masked at ingestion
• User data rights: self-serve data export and account deletion
• Privacy-safe audit logging: audit trails that record actions without storing personal information
• Consent tracking: versioned Terms acceptance recorded per user
• AI agent guardrails: spending limits, full audit logs, and kill switches
• Abuse protection: rate limiting at the edge with Cloudflare
• Error monitoring: Sentry alerts on failures in production
• Security-focused code review: every change reviewed by an independent AI model and approved by me before it ships
• Google Workspace security: two-step verification, security policy, domain and DNS management, HIPAA compliance configuration
• Compliance publishing: privacy policy, Terms, and SMS and WhatsApp messaging policies

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Coding agents: Claude Code, OpenAI Codex, Grok

Agentic and chat AI: Claude, ChatGPT, Gemini, NotebookLM, Muse

Generative AI: ElevenLabs, Higgsfield, HeyGen, Suno, Canva

AI APIs: Anthropic Claude API, OpenRouter

Frameworks: Next.js, React

Data and auth: Postgres, Supabase

Cloud and hosting: Google Cloud Platform, Vercel, GitHub, GitHub Actions

Monitoring and infrastructure: Sentry, Cloudflare

Analytics: Vercel Analytics, Google Analytics, Supabase dashboards

Email: Resend

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• Built in 12 hours: 7 Days to AI for Business, a bilingual English and Arabic app. Honorable Mention, AI for Business pop-up hackathon in Samin Yasar's Claude Club Skool community, October 2026.
• Built in 7 days: GroceryBoss, a grocery price comparison and coupon-stacking app. 2nd place, Women Build AI Build-A-Thon 2026, hosted by Sabrina Ramonov.

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I've taught AI since February 2026, through live training for a paid online community and one-on-one mentoring that has helped dozens of people ship real projects and products.

Topics: AI fundamentals, prompt engineering, app development with AI, agentic AI, building an AIOS, AI for business, AI safety and privacy

I also write regularly about AI and building with AI on LinkedIn and X.

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Open to speaking at AI events and women in AI events. Contact operations@elliottaifoundry.com.

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• Workless 2026, Tivat, Montenegro, July 2026 (in person). Speakers included Liam Ottley, Nate Herk, Dave Ebbelaar, Jack Roberts, Mark Kashef, Samin Yasar, Jannis Moore, Brock Mesarich, Bo Sar, and Albert Olgaard.
• Moonshots LIVE 2026, Los Angeles, September 2026 (in person). Speakers included William Shatner, Palmer Luckey, Neil deGrasse Tyson, Cathie Wood, Astro Teller, Ben Lamm, and the Moonshots hosts Peter Diamandis, Salim Ismail, Dave Blundin, and Alex Wissner-Gross. Home of the Moonshots with Peter Diamandis podcast.
• AIS Live: Build Your AI OS, October 2026 (online), hosted by Nate Herk and the AI Automation Society.

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Some links in this section are affiliate links.

1. AIS+ with Nate Herk
2. Claude Club with Samin Yasar
3. App Store Launch Club with David Iya
4. Claude Code Club with David Iya and Duncan Rogoff
5. Women Build AI with Sabrina Ramonov
6. AI Tools and Training Club by David Iya

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• In progress: AWS, Anthropic
• Currently learning: Swift and Xcode for native iOS, AWS app and game development, video integration for interactive AI avatars
• Apple Developer Program member since July 2026

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English, Spanish, Arabic

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• Private Coaching by David Iya, Y Combinator W20 founder, January to June 2026
• Nate Herk
• Samin Yasar
• Sabrina Ramonov
• Duncan Rogoff

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U.S. Navy, 1993 to 2006 (Seabee, then Cryptologic Technician). 20 years at the Office of the Director of National Intelligence, 2006 to 2026, including technical program management from 2021 to 2025. Bachelor of Arts in Liberal Studies, Georgetown University, 2013.

Security clearance: Remains eligible for TS/SCI with CI polygraph