Saya menukar model menjadi sistem penghantaran.
CTO di Of Them All dan pengasas Illuma. Saya membina aliran kerja AI, model khusus, dan infrastruktur platform untuk domain di mana pertimbangan, kependaman, dan kepercayaan adalah penting.
tahun menukar kekaburan menjadi sistem pengeluaran
pasaran merentasi Asia dan Eropah dengan kekangan operasi yang berbeza
jurutera yang diambil, dibimbing, atau dipimpin merentasi pasukan teragih
aliran kerja pencampuran audio berbantukan AI, berkurang daripada proses manual 15 minit
AI yang Berguna bukan sekadar ciri. Ia adalah sistem pengeluaran yang dilengkapi dengan bukti, aliran kerja, dan kebertanggungjawaban di sekelilingnya.
Saya membina infrastruktur pembayaran dan pasaran apabila waktu operasi, penipuan, pematuhan, dan jutaan transaksi harian adalah produk itu sendiri. Kekuatan operasi itu kini membentuk cara saya membina sistem AI.
Coraknya konsisten: cari kesesakan pakar, modelkan laluan keputusan, sambung lapisan data, kemudian kukuhkan aliran kerja sehingga pasukan boleh mempercayainya dalam pengeluaran.
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.
Daripada kemungkinan model kepada kebiasaan operasi.
Saya lebih suka gelung pendek, risiko yang jelas, dan sistem yang berfungsi berbanding peta jalan spekulatif yang panjang.
Petakan kesesakan
Kenal pasti di mana pertimbangan pakar, kependaman, atau keputusan berulang menyekat pertumbuhan.
Prototaip gelung
Bina laluan model + data + antara muka terkecil yang dapat membuktikan kerja berguna.
Kukuhkan sistem
Tambah perolehan, penilaian, kebenaran, kebolehcerapan, dan semakan manusia di mana risiko memerlukannya.
Hantar kebiasaan
Ubah aliran kerja menjadi tingkah laku pasukan dengan metrik, pemilikan, dan irama lelaran.
Usaha niaga sebagai makmal hidup, bukan hiasan portfolio.
Setiap produk adalah tempat untuk menguji tesis yang sama: AI khusus hanya penting apabila ia tertanam dalam aliran kerja dan bertanggungjawab terhadap hasil.
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
Bukti kerjaya merentasi pasaran, pembayaran, platform ML, dan pasukan.
Kembangkan setiap baris untuk bukti, sorotan, dan teknologi daripada peranan.
Individu yang telah melihat sistem operasi dari dekat.
“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.”
Penulisan terkini dari lapangan pembinaan.
What I'm Building in 2026
I am building new ventures in Portugal.
From Silence to Symphony: How We Built an AI-Powered Audio Mixing Engine with FFmpeg 8 and Intelligent Agents
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.
Bawa saya masuk apabila prototaip perlu menjadi sebuah sistem.
Perbualan yang berguna: Pembinaan aliran kerja AI, sistem teknologi undang-undang, senibina pasaran/platform, kepimpinan kejuruteraan, dan strategi teknikal untuk pasukan usaha niaga.