SPECIMEN №01 · AI BUSINESS ARCHITECT
FIGHTER PILOT · STRATEGY → EXECUTION · ONE PERSON · AI-NATIVE
BY THE NUMBERS
€5M/yr
Manual process retired
DocFields · projected 12-mo run-rate
100+ FTE
Equivalent workload
BMS validation · pre-production UAT
1+ yr
In production
Onboarding engine · 35 nodes · 3 languages
<1s
Voice catalog response
Askalog · 24,000 SKUs · zero hallucinated prices
7
Products shipped solo
3 prod · 2 pre-prod · 1 alpha · 1 build
ABOUT
Companies in regulated industries lose months translating business problems into software. I compress that to weeks because I speak both languages and build end-to-end with AI.
I operate as a founder: I pick the problem, scope the product, ship it, and put it in front of users. I pair with commercial counterparts when the deal and the problem are worth it.
Operational discipline transferred from aviation: understand the operation first, then build what it actually needs.
WHAT I'VE SHIPPED AS A SOLO BUILDER
A production document intelligence platform — four extraction engines, contract generation — that retired a €5M/year manual process (projected, 12-mo run-rate) and 100+ FTEs of equivalent workload.
Backoffice automation for a multi-tenant enterprise platform: document extraction, ERP integrations, vehicle-operations tooling — wired into the existing legal, billing, and CRM stack.
ERP integrations, field-provenance systems, and real-time conflict resolution — designed, built, and pitched to leadership by one person.
Prototype-to-production cadence: working demos in days, integrated systems in weeks.
I've done this across automotive, aviation, fintech, legal, and defense. The pattern transfers because the method does: think back to first principles, challenge the requirements other people accepted as fixed, then use AI to build beyond them.
Full-stack development. LLM orchestration. Domain-driven design. One person, AI-native.
SELECTED WORK
Three in production. Two pre-production. One in alpha. One in build.
Vendor-agnostic document AI · live in production
Twenty-four enterprise processors, confidence-tiered fallback, one normalized output. Most contracts stop at the cheapest tier.
Client portal for an auto retail group · powered by DocFields.ai
Cross-document conflict detection, append-only attestation per field. No human keystroke between document upload and the underwriting payload.
Decision-tree document-set engine · live for over a year
Thirty-five nodes. Thirty-four document types. Three languages. The graph decides which papers a customer must upload — and which stack to demand when the easy answer fails.
Autonomous purchase-document validation for an enterprise BMS
Every field on the contract cross-checked against every other document in the bundle. Most files clear without an operator touch.
Sub-second voice catalog agent · askalog.com (alpha)
Ask in Spanish, get the car. Sub-second, deterministic, zero hallucinated prices — the unit economics of voice commerce, finally.
Real-time agentic translation for regulated meetings
KUDO sells you interpreters. Wordly sells you captions. SmithVox sells you a tamper-evident multilingual transcript — in the speaker's own voice — and a chair agent that keeps the meeting from drifting.
Aspect-based sentiment with sector RAG · whyrating.com (pre-production)
Thirty-six primitives, intensity-scaled, anchor-grounded to the verbatim review text. Reputation noise becomes a queryable underwriting signal.
CURRENTLY SHIPPING
Week of Apr 28, 2026
Cutting the per-speaker voice clone latency budget under 350 ms. Hash-chained transcript ledger now writes through under load.
Pre-warming the cheap-tier processor on the fleet's morning curve. Most contracts now stop at tier-1; tier-2 spend down 38% week-on-week.
Cross-document conflict resolver merged. Working with the dealer group on the underwriting handoff payload.
Updated by hand, not by a job.
INTERMISSION
If a regulated AI build sounds like your problem, let's talk.
METHOD
Learn the domain fast enough to challenge the requirements, then use AI to build beyond them.
PHOTO №01 · F/A-18 HORNET
BACKGROUND
A decade as a fighter pilot and Operational Safety Officer in the Spanish Air Force. Operational discipline transferred to software architecture: systems either work under pressure or they fail people. That standard runs through every project here — the audit trails, the deterministic guards, the field-level provenance.
The same loop in both jobs: understand the operation first, then build what it actually needs. No improvisation on critical fields. No undeclared exceptions in production.
CONTACT
I build production AI for regulated industries. If you're a CTO, head of product, or operator with a problem that needs to ship — start here. Founders and investors with a concrete plan, also welcome.
Address revealed on click · spoofing-resistant
ALSO BUILDING
