{
  "@context": {
    "@vocab": "https://schema.org/",
    "resume": "https://jsonresume.org/schema/",
    "verification": "https://alexrevill.com/schema/verification#",
    "store": "https://alexrevill.com/schema/store#"
  },
  "@type": "Person",
  "@id": "https://alexrevill.com/#person",
  "name": "Alexander Revill",
  "givenName": "Alexander",
  "familyName": "Revill",
  "alternateName": "Alex Revill",
  "description": "Scientist-turned-operator working at the frontier of AI and emerging capabilities. Built and ran innovation, horizon-scanning, and stage-gated pipeline functions inside a large R&D organisation (GSK), founded early-stage ventures, and now designs and builds AI-native tools and systems hands-on. Based in Sydney, Australia.",
  "email": "hello@alexrevill.com",
  "url": "https://alexrevill.com",
  "sameAs": [
    "https://linkedin.com/in/alexrevill",
    "https://lu.ma/outventuring"
  ],
  "address": {
    "@type": "PostalAddress",
    "addressLocality": "Sydney",
    "addressCountry": "Australia",
    "description": "Based in Sydney, Australia. Relocated from London in 2025."
  },
  "knowsAbout": [
    "Generative and agentic AI",
    "AI-native system architecture (compounding org-memory, agent-maintained knowledge stores)",
    "Vibe-coding / AI-assisted development",
    "Horizon scanning and emerging-technology translation",
    "Operating-model design for innovation functions",
    "Stage-gated innovation pipelines",
    "Opportunity scouting, BD and search",
    "Digital health strategy",
    "Venture validation (0→1)",
    "Innovation methodology design",
    "Workshop facilitation and C-suite communication"
  ],
  "hasCredential": [
    {
      "@type": "EducationalOccupationalCredential",
      "name": "MSci Neuroscience (First Class)",
      "credentialCategory": "degree",
      "educationalLevel": "Master's",
      "recognizedBy": {
        "@type": "CollegeOrUniversity",
        "name": "University of Nottingham",
        "url": "https://www.nottingham.ac.uk"
      },
      "dateCreated": "2017",
      "description": "Four-year integrated Masters programme covering human physiology, pharmacology, psychology, anatomy, and nervous system signalling. Focus on priority pathologies including Alzheimer's and Parkinson's disease.",
      "verification": {
        "status": "verifiable",
        "method": "university-records",
        "note": "Degree classification verifiable via University of Nottingham"
      }
    },
    {
      "@type": "EducationalOccupationalCredential",
      "name": "TERP-10 SAP",
      "credentialCategory": "certificate",
      "recognizedBy": {
        "@type": "Organization",
        "name": "SAP"
      },
      "description": "Foundational SAP certification",
      "verification": {
        "status": "verifiable",
        "method": "certification-records"
      }
    },
    {
      "@type": "EducationalOccupationalCredential",
      "name": "Innovation: A Design Thinking Approach",
      "credentialCategory": "certificate",
      "recognizedBy": {
        "@type": "CollegeOrUniversity",
        "name": "Imperial College Executive Education"
      },
      "verification": {
        "status": "verifiable",
        "method": "certification-records"
      }
    },
    {
      "@type": "EducationalOccupationalCredential",
      "name": "Fast Track to Digital Clinical Trials",
      "credentialCategory": "certificate",
      "recognizedBy": {
        "@type": "Organization",
        "name": "Digital Medicine Society"
      },
      "verification": {
        "status": "verifiable",
        "method": "certification-records"
      }
    }
  ],
  "hasOccupation": [
    {
      "@type": "Role",
      "@id": "#role-problemkit",
      "roleName": "Founder",
      "startDate": "2024-03",
      "endDate": "2026-03",
      "store:status": "discontinued",
      "worksFor": {
        "@type": "Organization",
        "name": "ProblemKit"
      },
      "occupationType": "founding",
      "workHours": "full-time",
      "description": "Designed a structured methodology for autoethnographic problem discovery, characterisation, and validation - helping founders identify problems they are well-positioned to solve before committing to a venture. Self-published The Great Problems Logbook, spoke and ran workshops at accelerators and hackathons, and advised founders 1:1. Also served as the home entity under which several venture experiments ran. Wound down March 2026.",
      "store:tags": [
        "operating-model",
        "methodology",
        "venture-validation",
        "adoption",
        "judgment"
      ],
      "responsibilities": [
        "Methodology design and productisation",
        "Resourceful solo product development and commercialisation",
        "Workshop facilitation and public speaking",
        "Disciplined kill decisions"
      ],
      "achievements": [
        {
          "description": "Shipped ~150 copies of The Great Problems Logbook to founders in the UK, US, and Europe (online orders plus manual sales at events)",
          "metricRef": "#metric-logbooks",
          "verification": {
            "status": "verifiable",
            "method": "sales-records",
            "note": "Shopify store now closed; order/shipment records available on request"
          }
        },
        {
          "description": "Delivered talks and workshops at London Longevity Hackathon, African Blockchain Challenge, MassChallenge Accelerator, Ventures Podcast, and PLUGGED, reaching hundreds of founders",
          "verification": {
            "status": "verifiable",
            "method": "event-organiser-confirmation"
          }
        },
        {
          "description": "Ran venture experiments as disciplined methodology demonstrations: validated a fungal root-inoculant concept with experts at Kew Gardens then killed it (multi-year grant-funded research required); tested and killed a performance-sweatband concept on founder-problem fit",
          "verification": {
            "status": "self-reported",
            "method": "internal-records"
          }
        }
      ]
    },
    {
      "@type": "Role",
      "@id": "#role-fanks",
      "roleName": "Founder",
      "startDate": "2025-11",
      "store:status": "discontinued",
      "store:judgment": "Disciplined kill with a named, reasoned signal: a Luma-integrated MVP was built and tested at a live event; discontinued once it was clear the brand side of the market is not structurally ready to cede presentation control to independent communities at scale - a downstream problem outside the product's control.",
      "worksFor": {
        "@type": "Organization",
        "name": "FANKS"
      },
      "occupationType": "founding",
      "workHours": "full-time",
      "description": "Built infrastructure for brands to run scaled field-marketing campaigns via IRL communities, who could showcase their communities and deliver tracked offers to members. Vibe-coded the MVP end-to-end on top of Luma's API, issuing attendance rewards with claim rates linked to verified attendance. Tested at a live event, then discontinued on commercial judgment.",
      "store:tags": [
        "venture-validation",
        "vibe-coded",
        "automation",
        "judgment",
        "emerging-capabilities"
      ],
      "responsibilities": [
        "Venture validation (problem discovery, user research, dog-fooding)",
        "Hands-on (vibe-coded) MVP development",
        "Community owner sales and onboarding"
      ],
      "achievements": [
        {
          "description": "Signed 15 community owners (pre-revenue), representing ~1,000 regularly-meeting members across London; easy sign-ups partly because, unlike competitors, owners did not need a separate marketplace profile",
          "metricRef": "#metric-fanks-owners",
          "verification": {
            "status": "self-reported",
            "method": "internal-records"
          }
        },
        {
          "description": "Built a real Luma-calendar API integration with community-owner onboarding, a reward-flow builder, and a token-based claim/check-in flow; tested at one bouldering event (15 attendees) with at-cost premium electrolytes from a D2C brand distributed under claim tracking",
          "verification": {
            "status": "verifiable",
            "method": "local-repository",
            "note": "Build verifiable via local repo; event-test numbers self-reported"
          }
        }
      ],
      "endDate": "2026-02"
    },
    {
      "@type": "Role",
      "@id": "#role-agent-native-cv",
      "roleName": "Creator",
      "startDate": "2025-01",
      "store:status": "active",
      "worksFor": {
        "@type": "Project",
        "name": "Agent-Native CV / Canonical Store"
      },
      "occupationType": "personal-infrastructure",
      "description": "A living, machine-readable canonical store of Alex's professional experience (schema.org JSON-LD + narrative write-ups + llms.txt), designed to be queried by AI agents rather than scanned by humans. Now serves as the single source of truth from which targeted applications and CVs are generated. See projects (#ai-agent-native-cv) for the full account.",
      "store:tags": [
        "ai",
        "genai",
        "agentic",
        "emerging-capabilities",
        "vibe-coded"
      ],
      "responsibilities": [
        "Thesis development and articulation",
        "Information architecture for AI consumption",
        "Per-claim verification system design",
        "Shipping tangible artifacts to demonstrate ideas"
      ],
      "verification": {
        "status": "verified",
        "method": "self-evident",
        "note": "You're reading it"
      }
    },
    {
      "@type": "Role",
      "@id": "#role-zinc-eir",
      "roleName": "Entrepreneur in Residence",
      "startDate": "2023-10",
      "endDate": "2024-04",
      "worksFor": {
        "@type": "Organization",
        "name": "Zinc VC",
        "url": "https://zinc.vc"
      },
      "occupationType": "fellowship",
      "workHours": "full-time",
      "description": "Co-founded Fawn (Fawn Technologies), addressing the public-private gap in preconception health services, on Zinc's health-focused incubator programme. Fawn ran October 2023 - April 2024.",
      "store:tags": [
        "venture-validation",
        "bd-search",
        "judgment"
      ],
      "achievements": [
        {
          "description": "Conducted 70+ user interviews within three weeks to validate problem and demand",
          "metricRef": "#metric-fawn-interviews",
          "verification": {
            "status": "self-reported",
            "method": "internal-records"
          }
        },
        {
          "description": "Achieved 2-4x industry benchmark click-through rate with 20% landing page sign-up conversion on a £100 ad budget (fake-door test)",
          "metricRef": "#metric-fawn-ctr",
          "verification": {
            "status": "self-reported",
            "method": "meta-ads-manager"
          }
        },
        {
          "description": "Initiated advisory relationships with senior clinical and research practitioners from King's College London and Imperial College London",
          "verification": {
            "status": "self-reported",
            "method": "reference-available"
          }
        }
      ],
      "verification": {
        "status": "verifiable",
        "method": "programme-records"
      }
    },
    {
      "@type": "Role",
      "@id": "#role-zinc-fellow",
      "roleName": "Fellow",
      "startDate": "2024-07",
      "endDate": "2025-10",
      "worksFor": {
        "@type": "Organization",
        "name": "Zinc VC",
        "url": "https://zinc.vc"
      },
      "occupationType": "advisory",
      "workHours": "episodic",
      "description": "Joined Zinc's Fellow network advising subsequent cohorts. Consulted with 20+ founders across digital health, neuroscience, and problem validation challenges - consistently requested from a pool of 200+ Fellows.",
      "store:tags": [
        "adoption",
        "methodology",
        "bd-search"
      ],
      "verification": {
        "status": "verifiable",
        "method": "programme-records"
      }
    },
    {
      "@type": "Role",
      "@id": "#role-gsk-senior-manager",
      "roleName": "Senior Manager, Digital Health & Innovation",
      "startDate": "2020-03",
      "endDate": "2023-10",
      "worksFor": {
        "@type": "Corporation",
        "name": "GSK",
        "url": "https://www.gsk.com",
        "tickerSymbol": "GSK"
      },
      "occupationType": "employment",
      "workHours": "full-time",
      "description": "Promoted from Technology Associate to Senior Manager, becoming GSK's fastest-promoted graduate at the time. Built methodological infrastructure for the team's innovation pipeline and served as the primary voice translating technology trends - including early generative AI - for senior leadership.",
      "store:tags": [
        "horizon-scanning",
        "stage-gate",
        "operating-model",
        "ai",
        "genai",
        "c-suite-influence",
        "adoption",
        "bd-search"
      ],
      "responsibilities": [
        "Strategic technology analysis and translation",
        "Methodology design and systematisation",
        "C-suite communication",
        "Workshop design and facilitation",
        "Venture development (0→1)",
        "Cross-functional stakeholder management"
      ],
      "achievements": [
        {
          "description": "Owned and authored Digital Trends in Healthcare monthly memo for three years, read by CEO, CDTO, and 200+ global leaders",
          "metricRef": "#metric-leaders",
          "verification": {
            "status": "verifiable",
            "method": "reference-available"
          }
        },
        {
          "description": "Authored 50+ monthly C-suite intelligence briefs influencing $3m+ in digital-health investment decisions",
          "verification": {
            "status": "self-reported",
            "method": "internal-records",
            "note": "Records no longer accessible"
          }
        },
        {
          "description": "Built scenario method and stage-gated innovation pipeline generating 50+ strategic projects across the organisation, driven by 20+ technologists; ran 30+ scenario reviews",
          "metricRef": "#metric-pipeline-projects",
          "verification": {
            "status": "self-reported",
            "method": "internal-records",
            "note": "Historical dashboard no longer accessible; conservative estimate"
          }
        },
        {
          "description": "Published an experimental memo in 2022 containing LLM-generated articles advocating safe internal experimentation; within 48 hours it triggered a company-wide lockdown on ChatGPT/GPT usage and prompted formal AI data-privacy and security policy",
          "store:projectRef": "#ai-gsk-llm-memo",
          "store:tags": [
            "ai",
            "genai",
            "horizon-scanning",
            "adoption"
          ],
          "verification": {
            "status": "verifiable",
            "method": "reference-available"
          }
        },
        {
          "description": "Trained three additional teams across Development, Regulatory, and Commercial on scenario methodology",
          "verification": {
            "status": "verifiable",
            "method": "reference-available"
          }
        },
        {
          "description": "Owned the operational lead role on a flagship digital-health venture concept (with Accenture's venture-building practice): devising a novel consumer proposition for monitoring and modelling systemic inflammation relevant to the speciality-medicines portfolio and the company's broader immune-science positioning. Advanced to investment-ready stage (usability studies, feasibility, qual+quant demand validation) before deprioritisation in GSK's pivot to pure-play pharma.",
          "verification": {
            "status": "verifiable",
            "method": "reference-available",
            "note": "Partnership details internal only"
          }
        },
        {
          "description": "Designed and delivered innovation workshops to senior leadership across US, UK, China, Singapore, and Japan (15-30 participants each, SVP sponsorship)",
          "verification": {
            "status": "verifiable",
            "method": "reference-available"
          }
        }
      ],
      "verification": {
        "status": "verifiable",
        "method": "linkedin-bidirectional"
      }
    },
    {
      "@type": "Role",
      "@id": "#role-gsk-tech-associate-innovation",
      "roleName": "Technology Manager, Beyond Innovation",
      "startDate": "2018-09",
      "endDate": "2020-03",
      "worksFor": {
        "@type": "Corporation",
        "name": "GSK",
        "url": "https://www.gsk.com"
      },
      "occupationType": "employment",
      "workHours": "full-time",
      "description": "Joined the Beyond Innovation team at its inception after directly pitching the CDTO in an elevator conversation to negotiate transfer from the ERP function. Subsequently fast-tracked to permanent role earlier than any other graduate company-wide.",
      "store:tags": [
        "horizon-scanning",
        "operating-model",
        "methodology",
        "stage-gate"
      ],
      "responsibilities": [
        "Founded and authored Digital Trends in Healthcare memo",
        "Developed strategic themes and scenario-based forecasting practices",
        "Designed team's innovation methodology, value framework, metrics, governance, and pitch templates",
        "Designed and delivered workshops across US, UK, China, Singapore, and Japan"
      ],
      "verification": {
        "status": "verifiable",
        "method": "linkedin-bidirectional"
      }
    },
    {
      "@type": "Role",
      "@id": "#role-gsk-tech-associate-erp",
      "roleName": "Technology Associate, Global Applications & Development Tech",
      "startDate": "2017-09",
      "endDate": "2018-09",
      "worksFor": {
        "@type": "Corporation",
        "name": "GSK",
        "url": "https://www.gsk.com"
      },
      "occupationType": "employment",
      "workHours": "full-time",
      "description": "Joined GSK's Business & Technology Consulting graduate programme in the Global ERP function. Worked on GSK's decade-long global SAP template implementation.",
      "store:tags": [
        "enterprise-systems"
      ],
      "responsibilities": [
        "SAP Direct Procurement template deployment at two largest manufacturing sites (US and UK)",
        "Led template change to materials management system",
        "End-user training and functionality testing",
        "Tech Liaison for graduate programme (50+ peers)"
      ],
      "verification": {
        "status": "verifiable",
        "method": "linkedin-bidirectional"
      }
    }
  ],
  "store:projects": [
    {
      "@type": "store:Project",
      "@id": "#ai-heckle",
      "name": "Heckle",
      "status": "active",
      "stage": "informal / pre-launch, experimental side project (not yet tested at a real event)",
      "thesis": "IRL pitch forums are an underexploited edge for founders in a noisy world; 'pitchware' can lift engagement and conversion from every audience and give richer feedback to hosts and presenters than tools like Slido. Separately, an AI-native company can compound a private organisational memory from its own operational exhaust.",
      "build": "Built a functional MVP - presenters cast content through a host-controlled Heckle screen; the audience joins once and has each presenter's canonical links one tap away; post-event summaries go to every attendee. Separately designed the AI-native org-memory: a private git repo on PARA with a raw inbox (meeting transcripts via Granola, chat via a Telegram bot) kept separate from a synthesised layer that coding agents maintain via an instruction set, plus a scheduled GitHub Actions 'janitor' agent; Linear for live tasks, Cloudflare R2 for media. Deliberately not an embeddings/vector-store RAG system - agent-maintained plain markdown over git, for transparency, diffability, and ownership.",
      "role": "Originated the insight, built the MVP and site, named it, modelled monetisation, planned GTM, and designed the org-memory architecture; handing the technical build to a software-engineer collaborator.",
      "tech": [
        "Next.js",
        "TypeScript",
        "Tailwind",
        "Supabase (Postgres/Auth/Realtime)",
        "Drizzle ORM",
        "WebRTC + Cloudflare Calls (TURN)",
        "Resend",
        "shadcn/Radix (site)",
        "Vercel (site)",
        "git/GitHub + PARA markdown org-memory",
        "Granola + Telegram capture",
        "GitHub Actions janitor agent",
        "Linear",
        "Cloudflare R2",
        "vibe-coded via Claude Code"
      ],
      "scale": "Informal, experimental side project; co-built with one collaborator. Live site, working MVP, not yet tested at a real event. No traction claimed. A hobby project, not a full-time commitment.",
      "outcome_or_judgment": "Early-stage build. Demonstrates going from in-field observation to a working product in hours, and designing AI-native architecture an engineer can take over.",
      "live_url": null,
      "tags": [
        "ai",
        "genai",
        "agentic",
        "vibe-coded",
        "emerging-capabilities",
        "automation"
      ],
      "verification": {
        "status": "self-reported",
        "method": "internal-records"
      }
    },
    {
      "@type": "store:Project",
      "@id": "#ai-agent-native-cv",
      "name": "Agent-Native CV / Canonical Store",
      "status": "active",
      "stage": "living - in use as canonical store (this artifact)",
      "thesis": "Future professional records are expanded, machine-readable canonical data queried by AI agents - not 2-page PDFs scanned by humans. The CV becomes a generated output of the store, not a hand-maintained document.",
      "build": "Designed and built a machine-readable canonical store of his professional experience: schema.org JSON-LD backbone, narrative write-ups, an llms.txt entry point, and a per-claim verification system (verified / verifiable / self-reported, each with a method). The store is now the single source of truth from which targeted applications and CVs are generated. A recent re-architecture added a private source layer with a curated public build and a lint guardrail, plus a deliberate decision not to add an MCP server (it would reintroduce the setup friction the thesis exists to remove).",
      "role": "Sole creator.",
      "tech": [
        "schema.org JSON-LD",
        "llms.txt",
        "machine-readable / structured data",
        "per-claim verification schema",
        "static HTML",
        "vibe-coded / AI-assisted development"
      ],
      "scale": "Solo project; live canonical store generating his applications.",
      "outcome_or_judgment": "Living, directionally-correct project: it now serves as his canonical store and generates his applications - the medium proves the message for an AI/emerging-capabilities candidate.",
      "live_url": "https://alexrevill.com",
      "buildDate": "2025-01",
      "tags": [
        "ai",
        "genai",
        "agentic",
        "emerging-capabilities",
        "vibe-coded",
        "judgment"
      ],
      "verification": {
        "status": "verified",
        "method": "self-evident",
        "note": "You're reading it"
      }
    },
    {
      "@type": "store:Project",
      "@id": "#ai-fanks-build",
      "name": "FANKS (as an AI build)",
      "status": "discontinued",
      "stage": "built on Luma's API, tested at a live event, discontinued",
      "thesis": "Brands increasingly want IRL community partnerships as digital CAC rises and AI disrupts content marketing; the matching/trust/delivery infrastructure does not exist.",
      "build": "Vibe-coded the MVP end-to-end on Luma's API with community-owner onboarding, a reward-flow builder, and a token-based claim/check-in system; ran a live event test (15 attendees, tracked electrolyte-reward claims), then killed the venture. Later parked for a simpler matchmaking-database version with no repo.",
      "role": "Sole founder/builder.",
      "tech": [
        "Next.js (App Router)",
        "TypeScript",
        "Tailwind",
        "Supabase (Postgres)",
        "custom auth (bcryptjs + jose JWT)",
        "Luma calendar API",
        "reward-flow + token claim/check-in",
        "Resend + Nodemailer + Zapier",
        "Zod",
        "Vercel",
        "vibe-coded"
      ],
      "scale": "Solo build; one live test; 15 community owners joined (~1,000 members).",
      "outcome_or_judgment": "Hands-on AI build plus a disciplined kill: discontinued because the brand/supply side of the marketplace was not dense enough to justify a platform and the unit economics did not work. Knowing when not to build is the signal.",
      "live_url": null,
      "tags": [
        "vibe-coded",
        "automation",
        "judgment",
        "venture-validation",
        "emerging-capabilities"
      ],
      "verification": {
        "status": "verifiable",
        "method": "local-repository",
        "note": "Build verifiable via local repo; sign-ups and event-test numbers self-reported"
      }
    },
    {
      "@type": "store:Project",
      "@id": "#ai-sweet-street",
      "name": "Sweet Street",
      "status": "discontinued",
      "stage": "MVP vibe-coded, outreach-tested, discontinued",
      "thesis": "A trust-and-discovery layer for local tradespeople can ride on existing WhatsApp neighbour-referral behaviour rather than fighting it.",
      "build": "Vibe-coded an MVP of a local-tradesperson trust and discovery layer designed to ride on WhatsApp neighbour referrals. A sibling git repo ('sweetst') exists locally.",
      "role": "Sole builder.",
      "tech": [
        "Next.js (App Router)",
        "TypeScript",
        "Tailwind",
        "Prisma + Postgres (Supabase)",
        "NextAuth",
        "Stripe + Stripe Connect",
        "Twilio (SMS)",
        "Upstash Redis",
        "Resend",
        "Vercel Blob",
        "PostHog",
        "Vercel",
        "vibe-coded"
      ],
      "scale": "Solo build; MVP.",
      "outcome_or_judgment": "Cold-called tradespeople (3/10 signed up; one gave detailed feedback fed into the next iteration). A customer-initiated version stalled on demand timing. Reasoned the real unlock was an MVP seeding reputation scoring with self-assembling local directories - a high bar dependent on WhatsApp profile-sharing still in beta. Product worked but, lacking emotional investment in the problem, killed it.",
      "live_url": null,
      "tags": [
        "vibe-coded",
        "automation",
        "emerging-capabilities",
        "venture-validation"
      ],
      "verification": {
        "status": "verifiable",
        "method": "local-repository",
        "note": "Local repo 'sweetst' confirms the build; outcome self-reported"
      }
    },
    {
      "@type": "store:Project",
      "@id": "#ai-gsk-llm-memo",
      "name": "GSK 2022 experimental LLM memo",
      "status": "completed",
      "stage": "shipped inside GSK (flagship AI-currency proof point)",
      "thesis": "An organisation can experiment safely and productively with generative AI if early reporting forces the governance conversation before shadow usage outruns policy.",
      "build": "Authored and published an internal memo containing LLM-generated articles, advocating safe internal experimentation with generative AI - reporting on the field from GPT-1 through GPT-3.",
      "role": "Sole author, within the GSK Senior Manager role (see #role-gsk-senior-manager).",
      "tech": [
        "LLMs (GPT-era)",
        "generative AI",
        "horizon scanning"
      ],
      "scale": "Company-wide reach via the Digital Trends memo (CEO, CDTO, 200+ leaders).",
      "outcome_or_judgment": "Within 48 hours, triggered a company-wide lockdown on ChatGPT/GPT usage and prompted formal AI data-privacy and security policy - turning early experimentation into governed adoption. The most verifiable AI-currency proof point in the store.",
      "live_url": null,
      "tags": [
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