Jeg omsætter modeller til fungerende systemer.
CTO hos Of Them All og stifter af Illuma. Jeg bygger AI-workflows, nichemodeller og platformsinfrastruktur til domæner, hvor dømmekraft, latens og tillid er afgørende.
år med at omdanne tvetydighed til produktionssystemer
markeder i Asien og Europa med forskellige driftsbegrænsninger
ingeniører ansat, coachet eller mentoreret på tværs af distribuerede teams
AI-assisteret workflow for lydmix, ned fra en 15-minutters manuel proces
Nyttig AI er ikke en funktion. Det er et produktionssystem med beviser, workflow og ansvarlighed omkring det.
Jeg byggede betalings- og markedspladsinfrastruktur, da oppetid, svindel, compliance og millioner af daglige transaktioner var selve produktet. Den operationelle muskel former nu, hvordan jeg bygger AI-systemer.
Mønsteret er konsekvent: find ekspertflaskehalsen, modeller beslutningsvejen, forbind datalaget, og styrk derefter workflowet, indtil et team kan stole på det i produktion.
Practical AI, wired into the systems that make it useful.
The work is not just prompting a model. It is designing the data path, product loop, delivery system, and operating cadence around it.
Agentic workflow design
I turn repetitive expert work into supervised AI workflows: tool calling, review gates, retrieval, and measurable human-in-the-loop throughput.
RAG and model adaptation
Domain corpora, embeddings, retrieval strategy, prompt contracts, evaluation loops, and targeted fine-tuning when the base model is not enough.
Platform architecture
Architecture for systems that must keep moving: payments, marketplaces, automation backplanes, queues, observability, and deployment paths.
Engineering operating system
Hiring, coaching, SDLC, delivery cadence, incident habits, and the technical narrative needed when teams and products need to mature fast.
Fra modelmulighed til operationel vane.
Jeg foretrækker korte loops, synlig risiko og fungerende systemer frem for lange spekulative køreplaner.
Kortlæg flaskehalsen
Identificer, hvor ekspertbedømmelse, latens eller gentagne beslutninger begrænser væksten.
Prototyp loopet
Byg den mindste model + data + interface-sti, der kan bevise nyttigt arbejde.
Robustgør systemet
Tilføj informationshentning, evaluering, tilladelser, observerbarhed og menneskelig gennemgang, hvor risikoen kræver det.
Etabler vanen
Gør workflowet til teamadfærd med metrics, ejerskab og iterationskadence.
Venture-projekter som levende laboratorier, ikke porteføljeudsmykning.
Hvert produkt er et sted at teste den samme tese: specialiseret AI er kun relevant, når det er indlejret i workflowet og ansvarligt over for resultater.
Illuma
Legal AI · illuma.law
A legal AI platform for evidence management, precision case analysis, and specialized workflows that need traceability instead of generic chatbot behavior.
Luminous Giant
AI systems consultancy · luminous-giant.com
A build practice for founders and operators who need AI workflows, platform architecture, and engineering execution in the same room.
AI systems are layered products.
The useful work happens where models, data, product logic, and operational discipline meet.
Model layer
LLMs, Gemini, prompt contracts, evaluation sets, fine-tuning, agent behavior, and task decomposition.
- LLMs
- Agent workflows
- Fine-tuning
- Prompt engineering
- Model evaluation
Knowledge layer
The retrieval and memory plane that keeps AI grounded in product, legal, media, or operational context.
- RAG pipelines
- Embeddings
- Vector search
- PostgreSQL
- Meilisearch
Application layer
The product systems where AI meets users, permissions, payments, workflows, and business-critical state.
- Laravel
- TypeScript
- Cloudflare Workers
- Microservices
- Payment systems
Operations layer
The delivery environment: CI/CD, containers, observability, incident loops, and teams that own production.
- Docker
- Kubernetes
- AWS
- Linux
- GitHub Actions
Karrierebevis på tværs af markedspladser, betalinger, ML-platforme og teams.
Udvid hver række for beviser, højdepunkter og teknologier fra rollen.
Folk, der har set operativsystemet tæt på.
“Having worked 10 years ago and again hiring Miguel to work closely with me for the past 4 years tells a lot about how much trust and respect I have for him. Miguel Enes has a very entrepreneurial mindset that always sets him to find solutions and to move organisations forward. He does that relying on his profound and complete tech knowledge and on-hands experience, leading by example/execution and supporting his team along the way. I highly recommend him as an autonomous, energiser, tech-savvy and delivery oriented Engineering Manager.”
Seneste skriverier fra udviklingsgulvet.
What I'm Building in 2026
I am building new ventures in Portugal.
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We combine AI models, vector memory systems, and audio engineering rules to mix meditation mantras.
Orchestrating Multimedia Magic: How I Built Content Generation with Vizra ADK Workflows
I use Vizra ADK workflows to orchestrate multi-modal content generation across text, audio, and visual agents.
Kontakt mig, når prototypen skal blive til et system.
Nyttige samtaler: Opbygning af AI-workflows, legal tech-systemer, markedsplads-/platformarkitektur, engineering-ledelse og teknisk strategi for venture-teams.